Skip to main content

2018 | OriginalPaper | Buchkapitel

11. Estimation of Large-Scale Solar Rooftop PV Potential for Smart Grid Integration: A Methodological Review

verfasst von : Dan Assouline, Nahid Mohajeri, Jean-Louis Scartezzini

Erschienen in: Sustainable Interdependent Networks

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Roof-mounted photovoltaic (PV) panels are currently one of the most promising sources of renewable energy in urban areas. Yet, the optimized use of these rooftop PV systems requires an estimate of the potential supply. This chapter presents a review of the existing methodologies to explore the suitability of different methods to estimate the solar PV potential at regional and national scale. A thorough potential study for solar PV over rooftops requires the estimation of multiple variables, including (1) the horizontal components of solar radiation (global, diffuse, direct, extraterrestrial radiations) at the location of interest, (2) the shadowing effects over rooftops, (3) the rooftop slope and aspect distributions, and the rooftop shape, (4) the solar radiation over the tilted rooftops, and (5) the available rooftop area for PV installation. The goal of the present chapter is to review different methods for solar rooftop PV potential, independently from each other. A comparison is given based on the regional characteristics, the scale of study, the availability of data, and the level of accuracy. The methods include physical and empirical models, geostatistical methods, constant-value methods, sampling methods, geographic information systems (GIS) and light detection and ranging (LiDAR) -based methods, and finally machine learning methods. We present for each of them the main principle and theoretical background, as well as a literature review of the most significant studies that applied the method in various contexts. We also discuss the main advantages and disadvantages of the methods as well as present which methods are more suitable to estimate the above-mentioned variables.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Y.A. Abdalla, M. Baghdady, Global and diffuse solar radiation in Doha (Qatar). Solar Wind Technol. 2(3–4), 209–212 (1985)CrossRef Y.A. Abdalla, M. Baghdady, Global and diffuse solar radiation in Doha (Qatar). Solar Wind Technol. 2(3–4), 209–212 (1985)CrossRef
2.
Zurück zum Zitat S. Al-Alawi, H. Al-Hinai, An ANN-based approach for predicting global radiation in locations with no direct measurement instrumentation. Renew. Energy 14(1–4), 199–204 (1998)CrossRef S. Al-Alawi, H. Al-Hinai, An ANN-based approach for predicting global radiation in locations with no direct measurement instrumentation. Renew. Energy 14(1–4), 199–204 (1998)CrossRef
3.
Zurück zum Zitat H. Alsamamra, J.A. Ruiz-Arias, D. Pozo-Vázquez, J. Tovar-Pescador, A comparative study of ordinary and residual kriging techniques for mapping global solar radiation over southern Spain. Agric. Forest Meteorol. 149(8), 1343–1357 (2009)CrossRef H. Alsamamra, J.A. Ruiz-Arias, D. Pozo-Vázquez, J. Tovar-Pescador, A comparative study of ordinary and residual kriging techniques for mapping global solar radiation over southern Spain. Agric. Forest Meteorol. 149(8), 1343–1357 (2009)CrossRef
4.
Zurück zum Zitat M.H. Amini, B. Nabi, M.-R. Haghifam, Load management using multi-agent systems in smart distribution network, in 2013 IEEE Power and Energy Society General Meeting (PES) (IEEE, 2013), pp. 1–5 M.H. Amini, B. Nabi, M.-R. Haghifam, Load management using multi-agent systems in smart distribution network, in 2013 IEEE Power and Energy Society General Meeting (PES) (IEEE, 2013), pp. 1–5
5.
Zurück zum Zitat P. Andersen, Comments on calculations of monthly average insolation on tilted surfaces by SA Klein. Solar Energy 25(3), 287 (1980)CrossRef P. Andersen, Comments on calculations of monthly average insolation on tilted surfaces by SA Klein. Solar Energy 25(3), 287 (1980)CrossRef
6.
Zurück zum Zitat K.H. Anderson, M.H. Coddington, B.D. Kroposki, Assessing technical potential for city PV deployment using NREL’s in my backyard tool, in 2010 35th IEEE Photovoltaic Specialists Conference (PVSC) (IEEE, 2010), pp. 001085–001090 K.H. Anderson, M.H. Coddington, B.D. Kroposki, Assessing technical potential for city PV deployment using NREL’s in my backyard tool, in 2010 35th IEEE Photovoltaic Specialists Conference (PVSC) (IEEE, 2010), pp. 001085–001090
7.
Zurück zum Zitat A. Angstrom, On the computation of global radiation from records of sunshine A. Angstrom, On the computation of global radiation from records of sunshine
8.
Zurück zum Zitat F. Antonanzas-Torres, R. Urraca, J. Antonanzas, J. Fernandez-Ceniceros, F. Martinez-de Pison, Generation of daily global solar irradiation with support vector machines for regression. Energy Convers. Manag. 96, 277–286 (2015)CrossRef F. Antonanzas-Torres, R. Urraca, J. Antonanzas, J. Fernandez-Ceniceros, F. Martinez-de Pison, Generation of daily global solar irradiation with support vector machines for regression. Energy Convers. Manag. 96, 277–286 (2015)CrossRef
9.
Zurück zum Zitat D. Assouline, N. Mohajeri, J.-L. Scartezzini, Quantifying rooftop photovoltaic solar energy potential: a machine learning approach. Solar Energy 141, 278–296 (2017)CrossRef D. Assouline, N. Mohajeri, J.-L. Scartezzini, Quantifying rooftop photovoltaic solar energy potential: a machine learning approach. Solar Energy 141, 278–296 (2017)CrossRef
10.
Zurück zum Zitat V. Badescu, 3D isotropic approximation for solar diffuse irradiance on tilted surfaces. Renew. Energy 26(2), 221–233 (2002)CrossRef V. Badescu, 3D isotropic approximation for solar diffuse irradiance on tilted surfaces. Renew. Energy 26(2), 221–233 (2002)CrossRef
11.
Zurück zum Zitat M. Benghanem, A. Mellit, Radial Basis Function Network-based prediction of global solar radiation data: application for sizing of a stand-alone photovoltaic system at Al-Madinah, Saudi Arabia. Energy 35(9), 3751–3762 (2010)CrossRef M. Benghanem, A. Mellit, Radial Basis Function Network-based prediction of global solar radiation data: application for sizing of a stand-alone photovoltaic system at Al-Madinah, Saudi Arabia. Energy 35(9), 3751–3762 (2010)CrossRef
12.
Zurück zum Zitat R. Benson, M. Paris, J. Sherry, C. Justus, Estimation of daily and monthly direct, diffuse and global solar radiation from sunshine duration measurements. Solar Energy 32(4), 523–535 (1984)CrossRef R. Benson, M. Paris, J. Sherry, C. Justus, Estimation of daily and monthly direct, diffuse and global solar radiation from sunshine duration measurements. Solar Energy 32(4), 523–535 (1984)CrossRef
13.
Zurück zum Zitat L. Bergamasco, P. Asinari, Scalable methodology for the photovoltaic solar energy potential assessment based on available roof surface area: application to Piedmont Region (Italy). Solar Energy 85(5), 1041–1055 (2011)CrossRef L. Bergamasco, P. Asinari, Scalable methodology for the photovoltaic solar energy potential assessment based on available roof surface area: application to Piedmont Region (Italy). Solar Energy 85(5), 1041–1055 (2011)CrossRef
14.
Zurück zum Zitat L. Bergamasco, P. Asinari, Scalable methodology for the photovoltaic solar energy potential assessment based on available roof surface area: further improvements by ortho-image analysis and application to Turin (Italy). Solar Energy 85(11), 2741–2756 (2011)CrossRef L. Bergamasco, P. Asinari, Scalable methodology for the photovoltaic solar energy potential assessment based on available roof surface area: further improvements by ortho-image analysis and application to Turin (Italy). Solar Energy 85(11), 2741–2756 (2011)CrossRef
15.
Zurück zum Zitat A. Bill, N. Mohajeri, J.-L. Scartezzini, 3D model for solar energy potential on buildings from urban LiDAR data. UDMV 2016 - Eurographics Workshop on Urban Data Modelling and Visualisation, Liège, Belgium, December 8, 2016 A. Bill, N. Mohajeri, J.-L. Scartezzini, 3D model for solar energy potential on buildings from urban LiDAR data. UDMV 2016 - Eurographics Workshop on Urban Data Modelling and Visualisation, Liège, Belgium, December 8, 2016
16.
Zurück zum Zitat A. Bocca, L. Bottaccioli, E. Chiavazzo, M. Fasano, A. Macii, P. Asinari, Estimating photovoltaic energy potential from a minimal set of randomly sampled data. Renew. Energy 97, 457–467 (2016)CrossRef A. Bocca, L. Bottaccioli, E. Chiavazzo, M. Fasano, A. Macii, P. Asinari, Estimating photovoltaic energy potential from a minimal set of randomly sampled data. Renew. Energy 97, 457–467 (2016)CrossRef
17.
Zurück zum Zitat K.G. Boroojeni, M.H. Amini, A. Nejadpak, S. Iyengar, B. Hoseinzadeh, C.L. Bak, A theoretical bilevel control scheme for power networks with large-scale penetration of distributed renewable resources, in 2016 IEEE International Conference on Electro Information Technology (EIT) (IEEE, 2016), pp. 0510–0515 K.G. Boroojeni, M.H. Amini, A. Nejadpak, S. Iyengar, B. Hoseinzadeh, C.L. Bak, A theoretical bilevel control scheme for power networks with large-scale penetration of distributed renewable resources, in 2016 IEEE International Conference on Electro Information Technology (EIT) (IEEE, 2016), pp. 0510–0515
18.
Zurück zum Zitat M.B. Boz, K. Calvert, J.R. Brownson, An automated model for rooftop PV systems assessment in ArcGIS using LIDAR. AIMS Energy 3(3), 401–420 (2015)CrossRef M.B. Boz, K. Calvert, J.R. Brownson, An automated model for rooftop PV systems assessment in ArcGIS using LIDAR. AIMS Energy 3(3), 401–420 (2015)CrossRef
20.
Zurück zum Zitat L. Breiman, J. Friedman, C. Stone, R. Olshen, Classification and Regression Trees. The Wadsworth and Brooks-Cole Statistics-probability Series (Taylor & Francis, 1984) L. Breiman, J. Friedman, C. Stone, R. Olshen, Classification and Regression Trees. The Wadsworth and Brooks-Cole Statistics-probability Series (Taylor & Francis, 1984)
21.
Zurück zum Zitat M.C. Brito, N. Gomes, T. Santos, J.A. Tenedório, Photovoltaic potential in a Lisbon suburb using LiDAR data. Solar Energy 86(1), 283–288 (2012)CrossRef M.C. Brito, N. Gomes, T. Santos, J.A. Tenedório, Photovoltaic potential in a Lisbon suburb using LiDAR data. Solar Energy 86(1), 283–288 (2012)CrossRef
22.
Zurück zum Zitat J. Bugler, The determination of hourly insolation on an inclined plane using a diffuse irradiance model based on hourly measured global horizontal insolation. Solar Energy 19(5), 477–491 (1977)CrossRef J. Bugler, The determination of hourly insolation on an inclined plane using a diffuse irradiance model based on hourly measured global horizontal insolation. Solar Energy 19(5), 477–491 (1977)CrossRef
23.
Zurück zum Zitat C.J. Burges, A tutorial on support vector machines for pattern recognition. Data Min. Knowl. Discov. 2(2), 121–167 (1998)CrossRef C.J. Burges, A tutorial on support vector machines for pattern recognition. Data Min. Knowl. Discov. 2(2), 121–167 (1998)CrossRef
24.
Zurück zum Zitat C. Carneiro, E. Morello, G. Desthieux, Assessment of solar irradiance on the urban fabric for the production of renewable energy using LIDAR data and image processing techniques, in Advances in GIScience (Springer, 2009), pp. 83–112 C. Carneiro, E. Morello, G. Desthieux, Assessment of solar irradiance on the urban fabric for the production of renewable energy using LIDAR data and image processing techniques, in Advances in GIScience (Springer, 2009), pp. 83–112
25.
Zurück zum Zitat M. Chaudhari, L. Frantzis, T.E. Hoff, PV Grid Connected Market Potential Under a Cost Breakthrough Scenario, Retrieved on 16 September 2010 (Navigant Consulting, Inc., 2004) M. Chaudhari, L. Frantzis, T.E. Hoff, PV Grid Connected Market Potential Under a Cost Breakthrough Scenario, Retrieved on 16 September 2010 (Navigant Consulting, Inc., 2004)
26.
Zurück zum Zitat Y. Chauvin, D.E. Rumelhart, Backpropagation: Theory, Architectures, and Applications (Psychology Press, 1995) Y. Chauvin, D.E. Rumelhart, Backpropagation: Theory, Architectures, and Applications (Psychology Press, 1995)
27.
Zurück zum Zitat J.-L. Chen, G.-S. Li, Evaluation of support vector machine for estimation of solar radiation from measured meteorological variables. Theoret. Appl. Climatol. 115(3–4), 627–638 (2013) J.-L. Chen, G.-S. Li, Evaluation of support vector machine for estimation of solar radiation from measured meteorological variables. Theoret. Appl. Climatol. 115(3–4), 627–638 (2013)
28.
Zurück zum Zitat J.-L. Chen, G.-S. Li, B.-B. Xiao, Z.-F. Wen, M.-Q. Lv, C.-D. Chen, Y. Jiang, X.-X. Wang, S.-J. Wu, Assessing the transferability of support vector machine model for estimation of global solar radiation from air temperature. Energy Convers. Manag. 89, 318–329 (2015)CrossRef J.-L. Chen, G.-S. Li, B.-B. Xiao, Z.-F. Wen, M.-Q. Lv, C.-D. Chen, Y. Jiang, X.-X. Wang, S.-J. Wu, Assessing the transferability of support vector machine model for estimation of global solar radiation from air temperature. Energy Convers. Manag. 89, 318–329 (2015)CrossRef
29.
Zurück zum Zitat J.-L. Chen, H.-B. Liu, W. Wu, D.-T. Xie, Estimation of monthly solar radiation from measured temperatures using support vector machines—a case study. Renew. Energy 36(1), 413–420 (2011)CrossRef J.-L. Chen, H.-B. Liu, W. Wu, D.-T. Xie, Estimation of monthly solar radiation from measured temperatures using support vector machines—a case study. Renew. Energy 36(1), 413–420 (2011)CrossRef
30.
Zurück zum Zitat C. Cortes, V. Vapnik, Support-vector networks. Mach. Learn. 20(3), 273–297 (1995)MATH C. Cortes, V. Vapnik, Support-vector networks. Mach. Learn. 20(3), 273–297 (1995)MATH
31.
Zurück zum Zitat V. D’Agostino, A. Zelenka, Supplementing solar radiation network data by co-Kriging with satellite images. Int. J. Climatol. 12(7), 749–761 (1992)CrossRef V. D’Agostino, A. Zelenka, Supplementing solar radiation network data by co-Kriging with satellite images. Int. J. Climatol. 12(7), 749–761 (1992)CrossRef
32.
Zurück zum Zitat P. Defaix, W. Van Sark, E. Worrell, E. de Visser, Technical potential for photovoltaics on buildings in the EU-27. Solar Energy 86(9), 2644–2653 (2012)CrossRef P. Defaix, W. Van Sark, E. Worrell, E. de Visser, Technical potential for photovoltaics on buildings in the EU-27. Solar Energy 86(9), 2644–2653 (2012)CrossRef
33.
Zurück zum Zitat C. Demain, M. Journée, C. Bertrand, Evaluation of different models to estimate the global solar radiation on inclined surfaces. Renew. Energy 50, 710–721 (2013)CrossRef C. Demain, M. Journée, C. Bertrand, Evaluation of different models to estimate the global solar radiation on inclined surfaces. Renew. Energy 50, 710–721 (2013)CrossRef
34.
Zurück zum Zitat P. Denholm, R. Margolis, Supply curves for rooftop solar PV-generated electricity for the United States. 2008 P. Denholm, R. Margolis, Supply curves for rooftop solar PV-generated electricity for the United States. 2008
35.
Zurück zum Zitat M. Diez-Mediavilla, A. De Miguel, J. Bilbao, Measurement and comparison of diffuse solar irradiance models on inclined surfaces in Valladolid (Spain). Energy Convers. Manag. 46(13), 2075–2092 (2005)CrossRef M. Diez-Mediavilla, A. De Miguel, J. Bilbao, Measurement and comparison of diffuse solar irradiance models on inclined surfaces in Valladolid (Spain). Energy Convers. Manag. 46(13), 2075–2092 (2005)CrossRef
36.
Zurück zum Zitat A.S. Dorvlo, J.A. Jervase, A. Al-Lawati, Solar radiation estimation using artificial neural networks. Appl. Energy 71(4), 307–319 (2002)CrossRef A.S. Dorvlo, J.A. Jervase, A. Al-Lawati, Solar radiation estimation using artificial neural networks. Appl. Energy 71(4), 307–319 (2002)CrossRef
37.
Zurück zum Zitat H. Drucker, C.J. Burges, L. Kaufman, A.J. Smola, V. Vapnik, Support vector regression machines, in Advances in Neural Information Processing Systems (1997), pp. 155–161 H. Drucker, C.J. Burges, L. Kaufman, A.J. Smola, V. Vapnik, Support vector regression machines, in Advances in Neural Information Processing Systems (1997), pp. 155–161
38.
Zurück zum Zitat J.A. Duffie, W.A. Beckman, Solar Engineering of Thermal Processes (1980) J.A. Duffie, W.A. Beckman, Solar Engineering of Thermal Processes (1980)
39.
Zurück zum Zitat A. El-Sebaii, F. Al-Hazmi, A. Al-Ghamdi, S.J. Yaghmour, Global, direct and diffuse solar radiation on horizontal and tilted surfaces in Jeddah, Saudi Arabia. Appl. Energy 87(2), 568–576 (2010)CrossRef A. El-Sebaii, F. Al-Hazmi, A. Al-Ghamdi, S.J. Yaghmour, Global, direct and diffuse solar radiation on horizontal and tilted surfaces in Jeddah, Saudi Arabia. Appl. Energy 87(2), 568–576 (2010)CrossRef
40.
Zurück zum Zitat C. Ertekin, F. Evrendilek, Spatio-temporal modeling of global solar radiation dynamics as a function of sunshine duration for Turkey. Agric. Forest Meteorol. 145(1–2), 36–47 (2007)CrossRef C. Ertekin, F. Evrendilek, Spatio-temporal modeling of global solar radiation dynamics as a function of sunshine duration for Turkey. Agric. Forest Meteorol. 145(1–2), 36–47 (2007)CrossRef
41.
Zurück zum Zitat D. Fadare, Modelling of solar energy potential in Nigeria using an artificial neural network model. Appl. Energy 86(9), 1410–1422 (2009)CrossRef D. Fadare, Modelling of solar energy potential in Nigeria using an artificial neural network model. Appl. Energy 86(9), 1410–1422 (2009)CrossRef
42.
Zurück zum Zitat Y. Feng, N. Cui, Q. Zhang, L. Zhao, D. Gong, Comparison of artificial intelligence and empirical models for estimation of daily diffuse solar radiation in North China plain. Int. J. Hydrogen Energy 42(21), 14418–14428 (2017)CrossRef Y. Feng, N. Cui, Q. Zhang, L. Zhao, D. Gong, Comparison of artificial intelligence and empirical models for estimation of daily diffuse solar radiation in North China plain. Int. J. Hydrogen Energy 42(21), 14418–14428 (2017)CrossRef
43.
Zurück zum Zitat L. Frantzis, S. Graham, J. Paidipati, California rooftop photovoltaic (PV) resource assessment and growth potential by county. Navigant Consulting, California Energy Commission PIER Final Project Report CEC-500-2007-048 (2007) L. Frantzis, S. Graham, J. Paidipati, California rooftop photovoltaic (PV) resource assessment and growth potential by county. Navigant Consulting, California Energy Commission PIER Final Project Report CEC-500-2007-048 (2007)
44.
Zurück zum Zitat P. Gagnon, R. Margolis, J. Melius, C. Phillips, R. Elmore, Rooftop solar photovoltaic technical potential in the United States: a detailed assessment. Technical report (National Renewable Energy Laboratory (NREL), 2016) P. Gagnon, R. Margolis, J. Melius, C. Phillips, R. Elmore, Rooftop solar photovoltaic technical potential in the United States: a detailed assessment. Technical report (National Renewable Energy Laboratory (NREL), 2016)
45.
Zurück zum Zitat J. Gooding, R. Crook, A.S. Tomlin, Modelling of roof geometries from low-resolution LiDAR data for city-scale solar energy applications using a neighbouring buildings method. Appl. Energy 148, 93–104 (2015)CrossRef J. Gooding, R. Crook, A.S. Tomlin, Modelling of roof geometries from low-resolution LiDAR data for city-scale solar energy applications using a neighbouring buildings method. Appl. Energy 148, 93–104 (2015)CrossRef
46.
Zurück zum Zitat C. Gueymard, An anisotropic solar irradiance model for tilted surfaces and its comparison with selected engineering algorithms. Solar Energy 38(5), 367–386 (1987)CrossRef C. Gueymard, An anisotropic solar irradiance model for tilted surfaces and its comparison with selected engineering algorithms. Solar Energy 38(5), 367–386 (1987)CrossRef
47.
Zurück zum Zitat M. Gulin, M. Vašak, M. Baotic, Estimation of the global solar irradiance on tilted surfaces, in 17th International Conference on Electrical Drives and Power Electronics (EDPE 2013) (2013), pp. 334–339 M. Gulin, M. Vašak, M. Baotic, Estimation of the global solar irradiance on tilted surfaces, in 17th International Conference on Electrical Drives and Power Electronics (EDPE 2013) (2013), pp. 334–339
48.
Zurück zum Zitat M. Gutschner, S. Nowak, D. Ruoss, P. Toggweiler, T. Schoen, Potential for building integrated photovoltaics. IEA-PVPS Task 7 (2002) M. Gutschner, S. Nowak, D. Ruoss, P. Toggweiler, T. Schoen, Potential for building integrated photovoltaics. IEA-PVPS Task 7 (2002)
49.
Zurück zum Zitat H. Hashimoto, R. Nemani, Estimation of spatial variability in humidity, wind, and solar radiation using the random forest algorithm for the conterminous USA, in AGU Fall Meeting Abstracts (2015) H. Hashimoto, R. Nemani, Estimation of spatial variability in humidity, wind, and solar radiation using the random forest algorithm for the conterminous USA, in AGU Fall Meeting Abstracts (2015)
50.
Zurück zum Zitat T. Hastie, R. Tibshirani, J. Friedman, T. Hastie, J. Friedman, R. Tibshirani, The Elements of Statistical Learning, vol. 2 (Springer, 2009) T. Hastie, R. Tibshirani, J. Friedman, T. Hastie, J. Friedman, R. Tibshirani, The Elements of Statistical Learning, vol. 2 (Springer, 2009)
51.
Zurück zum Zitat J.E. Hay, Calculation of monthly mean solar radiation for horizontal and inclined surfaces. Solar Energy 23(4), 301–307 (1979)CrossRef J.E. Hay, Calculation of monthly mean solar radiation for horizontal and inclined surfaces. Solar Energy 23(4), 301–307 (1979)CrossRef
52.
Zurück zum Zitat S.S. Haykin, Neural Networks: A Comprehensive Foundation (Tsinghua University Press, 2001) S.S. Haykin, Neural Networks: A Comprehensive Foundation (Tsinghua University Press, 2001)
53.
Zurück zum Zitat J. Hofierka, J. Kaňuk, Assessment of photovoltaic potential in urban areas using open-source solar radiation tools. Renew. Energy 34(10), 2206–2214 (2009)CrossRef J. Hofierka, J. Kaňuk, Assessment of photovoltaic potential in urban areas using open-source solar radiation tools. Renew. Energy 34(10), 2206–2214 (2009)CrossRef
54.
Zurück zum Zitat T. Hong, M. Lee, C. Koo, K. Jeong, J. Kim, Development of a method for estimating the rooftop solar photovoltaic (PV) potential by analyzing the available rooftop area using hillshade analysis. Appl. Energy 194, 320–332 (2017)CrossRef T. Hong, M. Lee, C. Koo, K. Jeong, J. Kim, Development of a method for estimating the rooftop solar photovoltaic (PV) potential by analyzing the available rooftop area using hillshade analysis. Appl. Energy 194, 320–332 (2017)CrossRef
55.
Zurück zum Zitat M.M. Hoogwijk, On the global and regional potential of renewable energy sources. Ph.D. thesis (2004) M.M. Hoogwijk, On the global and regional potential of renewable energy sources. Ph.D. thesis (2004)
56.
Zurück zum Zitat K. Hornik, M. Stinchcombe, H. White, Multilayer feedforward networks are universal approximators. Neural Netw. 2(5), 359–366 (1989)MATHCrossRef K. Hornik, M. Stinchcombe, H. White, Multilayer feedforward networks are universal approximators. Neural Netw. 2(5), 359–366 (1989)MATHCrossRef
57.
Zurück zum Zitat I.A. Ibrahim, T. Khatib, A novel hybrid model for hourly global solar radiation prediction using random forests technique and firefly algorithm. Energy Convers. Manag. 138, 413–425 (2017)CrossRef I.A. Ibrahim, T. Khatib, A novel hybrid model for hourly global solar radiation prediction using random forests technique and firefly algorithm. Energy Convers. Manag. 138, 413–425 (2017)CrossRef
58.
Zurück zum Zitat T. Inoue, T. Sasaki, T. Washio, Spatio-temporal Kriging of solar radiation incorporating direction and speed of cloud movementm, in The 26th Annual Conference of the Japanese Society for Artificial Intelligence (2012) T. Inoue, T. Sasaki, T. Washio, Spatio-temporal Kriging of solar radiation incorporating direction and speed of cloud movementm, in The 26th Annual Conference of the Japanese Society for Artificial Intelligence (2012)
59.
Zurück zum Zitat M. Iqbal, An Introduction to Solar Radiation (Elsevier, 2012) M. Iqbal, An Introduction to Solar Radiation (Elsevier, 2012)
60.
Zurück zum Zitat S. Izquierdo, M. Rodrigues, N. Fueyo, A method for estimating the geographical distribution of the available roof surface area for large-scale photovoltaic energy-potential evaluations. Solar Energy 82(10), 929–939 (2008)CrossRef S. Izquierdo, M. Rodrigues, N. Fueyo, A method for estimating the geographical distribution of the available roof surface area for large-scale photovoltaic energy-potential evaluations. Solar Energy 82(10), 929–939 (2008)CrossRef
61.
Zurück zum Zitat A. Jochem, B. Höfle, M. Rutzinger, N. Pfeifer, Automatic roof plane detection and analysis in airborne LIDAR point clouds for solar potential assessment. Sensors 9(7), 5241–5262 (2009)CrossRef A. Jochem, B. Höfle, M. Rutzinger, N. Pfeifer, Automatic roof plane detection and analysis in airborne LIDAR point clouds for solar potential assessment. Sensors 9(7), 5241–5262 (2009)CrossRef
62.
Zurück zum Zitat B. Joshi, B. Hayk, A. Al-Hinai, W.L. Woon, Rooftop detection for planning of solar PV deployment: a case study in Abu Dhabi, in International Workshop on Data Analytics for Renewable Energy Integration (Springer, 2014), pp. 137–149 B. Joshi, B. Hayk, A. Al-Hinai, W.L. Woon, Rooftop detection for planning of solar PV deployment: a case study in Abu Dhabi, in International Workshop on Data Analytics for Renewable Energy Integration (Springer, 2014), pp. 137–149
63.
Zurück zum Zitat G.A. Kamali, I. Moradi, A. Khalili, Estimating solar radiation on tilted surfaces with various orientations: a study case in Karaj (Iran). Theoret. Appl. Climatol. 84(4), 235–241 (2006)CrossRef G.A. Kamali, I. Moradi, A. Khalili, Estimating solar radiation on tilted surfaces with various orientations: a study case in Karaj (Iran). Theoret. Appl. Climatol. 84(4), 235–241 (2006)CrossRef
64.
Zurück zum Zitat M. Kanevski, V. Timonin, A. Pozdnukhov, Machine Learning for Spatial Environmental Data: Theory, Applications, and Software (CRC Press, 2009) M. Kanevski, V. Timonin, A. Pozdnukhov, Machine Learning for Spatial Environmental Data: Theory, Applications, and Software (CRC Press, 2009)
65.
Zurück zum Zitat R. Kassner, W. Koppe, T. Schüttenberg, G. Bareth, Analysis of the solar potential of roofs by using official LIDAR data, in Proceedings of the International Society for Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Congress) (2008), pp. 399–404 R. Kassner, W. Koppe, T. Schüttenberg, G. Bareth, Analysis of the solar potential of roofs by using official LIDAR data, in Proceedings of the International Society for Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Congress) (2008), pp. 399–404
66.
Zurück zum Zitat T. Khatib, A. Mohamed, M. Mahmoud, K. Sopian, Modeling of daily solar energy on a horizontal surface for five main sites in Malaysia. Int. J. Green Energy 8(8), 795–819 (2011)CrossRef T. Khatib, A. Mohamed, M. Mahmoud, K. Sopian, Modeling of daily solar energy on a horizontal surface for five main sites in Malaysia. Int. J. Green Energy 8(8), 795–819 (2011)CrossRef
67.
Zurück zum Zitat S. Klein, Calculation of monthly average insolation on tilted surfaces. Solar Energy 19(4), 325–329 (1977)CrossRef S. Klein, Calculation of monthly average insolation on tilted surfaces. Solar Energy 19(4), 325–329 (1977)CrossRef
68.
Zurück zum Zitat T.M. Klucher, Evaluation of models to predict insolation on tilted surfaces. Solar Energy 23(2), 111–114 (1979)CrossRef T.M. Klucher, Evaluation of models to predict insolation on tilted surfaces. Solar Energy 23(2), 111–114 (1979)CrossRef
69.
Zurück zum Zitat P.S. Koronakis, On the choice of the angle of tilt for south facing solar collectors in the Athens basin area. Solar Energy 36(3), 217–225 (1986)CrossRef P.S. Koronakis, On the choice of the angle of tilt for south facing solar collectors in the Athens basin area. Solar Energy 36(3), 217–225 (1986)CrossRef
70.
Zurück zum Zitat M. Kratzenberg, H.H. Zürn, P.P. Revheim, H.G. Beyer, Identification and handling of critical irradiance forecast errors using a random forest scheme—a case study for southern Brazil. Energy Procedia 76, 207–215 (2015)CrossRef M. Kratzenberg, H.H. Zürn, P.P. Revheim, H.G. Beyer, Identification and handling of critical irradiance forecast errors using a random forest scheme—a case study for southern Brazil. Energy Procedia 76, 207–215 (2015)CrossRef
71.
Zurück zum Zitat Y. LeCun, Y. Bengio et al., Convolutional networks for images, speech, and time series, in The Handbook of Brain Theory and Neural Networks, vol. 3361, no. 10 (1995) Y. LeCun, Y. Bengio et al., Convolutional networks for images, speech, and time series, in The Handbook of Brain Theory and Neural Networks, vol. 3361, no. 10 (1995)
72.
Zurück zum Zitat H. Lehmann, S. Peter, Assessment of Roof and Façade Potentials for Solar Use in Europe (Institute for Sustainable Solutions and Innovations (ISUSI), Aachen, Germany, 2003) H. Lehmann, S. Peter, Assessment of Roof and Façade Potentials for Solar Use in Europe (Institute for Sustainable Solutions and Innovations (ISUSI), Aachen, Germany, 2003)
73.
Zurück zum Zitat R. Levinson, H. Akbari, M. Pomerantz, S. Gupta, Solar access of residential rooftops in four California cities. Solar Energy 83(12), 2120–2135 (2009)CrossRef R. Levinson, H. Akbari, M. Pomerantz, S. Gupta, Solar access of residential rooftops in four California cities. Solar Energy 83(12), 2120–2135 (2009)CrossRef
74.
Zurück zum Zitat A. Liaw, M. Wiener, Classification and regression by randomforest. R News 2(3), 18–22 (2002) A. Liaw, M. Wiener, Classification and regression by randomforest. R News 2(3), 18–22 (2002)
75.
Zurück zum Zitat B. Liu, R. Jordan, Daily insolation on surfaces tilted towards equator. ASHRAE J. (United States) 10 (1961) B. Liu, R. Jordan, Daily insolation on surfaces tilted towards equator. ASHRAE J. (United States) 10 (1961)
76.
Zurück zum Zitat A. Lopez, B. Roberts, D. Heimiller, N. Blair, G. Porro, US renewable energy technical potentials: a GIS-based analysis. Technical report, NREL (2012) A. Lopez, B. Roberts, D. Heimiller, N. Blair, G. Porro, US renewable energy technical potentials: a GIS-based analysis. Technical report, NREL (2012)
78.
Zurück zum Zitat P. Loutzenhiser, H. Manz, C. Felsmann, P. Strachan, T. Frank, G. Maxwell, Empirical validation of models to compute solar irradiance on inclined surfaces for building energy simulation. Solar Energy 81(2), 254–267 (2007)CrossRef P. Loutzenhiser, H. Manz, C. Felsmann, P. Strachan, T. Frank, G. Maxwell, Empirical validation of models to compute solar irradiance on inclined surfaces for building energy simulation. Solar Energy 81(2), 254–267 (2007)CrossRef
79.
Zurück zum Zitat N. Lukač, S. Seme, D. Žlaus, G. Štumberger, B. Žalik, Buildings roofs photovoltaic potential assessment based on LiDAR (light detection and ranging) data. Energy 66, 598–609 (2014)CrossRef N. Lukač, S. Seme, D. Žlaus, G. Štumberger, B. Žalik, Buildings roofs photovoltaic potential assessment based on LiDAR (light detection and ranging) data. Energy 66, 598–609 (2014)CrossRef
80.
Zurück zum Zitat W.S. McCulloch, W. Pitts, A logical calculus of the ideas immanent in nervous activity. Bull. Math. Biophys. 5(4), 115–133 (1943)MathSciNetMATHCrossRef W.S. McCulloch, W. Pitts, A logical calculus of the ideas immanent in nervous activity. Bull. Math. Biophys. 5(4), 115–133 (1943)MathSciNetMATHCrossRef
81.
Zurück zum Zitat N. Mohajeri, D. Assouline, B. Guiboud, J.-L. Scartezzini, Does roof shape matter? solar photovoltaic (PV) integration on building roofs, in Proceedings of the International Conference on Sustainable Built Environment (SBE), number EPFL-CONF-220006 (2016) N. Mohajeri, D. Assouline, B. Guiboud, J.-L. Scartezzini, Does roof shape matter? solar photovoltaic (PV) integration on building roofs, in Proceedings of the International Conference on Sustainable Built Environment (SBE), number EPFL-CONF-220006 (2016)
82.
Zurück zum Zitat M. Mohandes, S. Rehman, T. Halawani, Estimation of global solar radiation using artificial neural networks. Renew. Energy 14(1–4), 179–184 (1998)CrossRef M. Mohandes, S. Rehman, T. Halawani, Estimation of global solar radiation using artificial neural networks. Renew. Energy 14(1–4), 179–184 (1998)CrossRef
83.
Zurück zum Zitat M. Montavon, J.-L. Scartezzini, R. Compagnon, Comparison of the solar energy utilisation potential of different urban environments, in PLEA 2004 Conference (2004) M. Montavon, J.-L. Scartezzini, R. Compagnon, Comparison of the solar energy utilisation potential of different urban environments, in PLEA 2004 Conference (2004)
84.
Zurück zum Zitat A. Moreno, M. Gilabert, B. Martínez, Mapping daily global solar irradiation over Spain: a comparative study of selected approaches. Solar Energy 85(9), 2072–2084 (2011)CrossRef A. Moreno, M. Gilabert, B. Martínez, Mapping daily global solar irradiation over Spain: a comparative study of selected approaches. Solar Energy 85(9), 2072–2084 (2011)CrossRef
85.
Zurück zum Zitat T. Muneer, Solar radiation model for Europe. Build. Serv. Eng. Res. Technol. 11(4), 153–163 (1990)CrossRef T. Muneer, Solar radiation model for Europe. Build. Serv. Eng. Res. Technol. 11(4), 153–163 (1990)CrossRef
86.
Zurück zum Zitat H.T. Nguyen, J.M. Pearce, Incorporating shading losses in solar photovoltaic potential assessment at the municipal scale. Solar Energy 86(5), 1245–1260 (2012)CrossRef H.T. Nguyen, J.M. Pearce, Incorporating shading losses in solar photovoltaic potential assessment at the municipal scale. Solar Energy 86(5), 1245–1260 (2012)CrossRef
87.
Zurück zum Zitat H.T. Nguyen, J.M. Pearce, Automated quantification of solar photovoltaic potential in cities. Int. Rev. Spat. Plan. Sustain. Dev. 1(1), 49–60 (2013)CrossRef H.T. Nguyen, J.M. Pearce, Automated quantification of solar photovoltaic potential in cities. Int. Rev. Spat. Plan. Sustain. Dev. 1(1), 49–60 (2013)CrossRef
88.
Zurück zum Zitat H.T. Nguyen, J.M. Pearce, R. Harrap, G. Barber, The application of LiDAR to assessment of rooftop solar photovoltaic deployment potential in a municipal district unit. Sensors 12(4), 4534–4558 (2012)CrossRef H.T. Nguyen, J.M. Pearce, R. Harrap, G. Barber, The application of LiDAR to assessment of rooftop solar photovoltaic deployment potential in a municipal district unit. Sensors 12(4), 4534–4558 (2012)CrossRef
89.
Zurück zum Zitat A.M. Noorian, I. Moradi, G.A. Kamali, Evaluation of 12 models to estimate hourly diffuse irradiation on inclined surfaces. Renew. Energy 33(6), 1406–1412 (2008)CrossRef A.M. Noorian, I. Moradi, G.A. Kamali, Evaluation of 12 models to estimate hourly diffuse irradiation on inclined surfaces. Renew. Energy 33(6), 1406–1412 (2008)CrossRef
90.
Zurück zum Zitat J. Ordóñez, E. Jadraque, J. Alegre, G. Martínez, Analysis of the photovoltaic solar energy capacity of residential rooftops in Andalusia (Spain). Renew. Sustain. Energy Rev. 14(7), 2122–2130 (2010)CrossRef J. Ordóñez, E. Jadraque, J. Alegre, G. Martínez, Analysis of the photovoltaic solar energy capacity of residential rooftops in Andalusia (Spain). Renew. Sustain. Energy Rev. 14(7), 2122–2130 (2010)CrossRef
91.
Zurück zum Zitat J. Paidipati, L. Frantzis, H. Sawyer, A. Kurrasch, Rooftop Photovoltaics Market Penetration Scenarios (Navigant Consulting, Inc., for NREL, 2008) J. Paidipati, L. Frantzis, H. Sawyer, A. Kurrasch, Rooftop Photovoltaics Market Penetration Scenarios (Navigant Consulting, Inc., for NREL, 2008)
92.
Zurück zum Zitat J. Peng, L. Lu, Investigation on the development potential of rooftop pv system in Hong Kong and its environmental benefits. Renew. Sustain. Energy Rev. 27, 149–162 (2013)CrossRef J. Peng, L. Lu, Investigation on the development potential of rooftop pv system in Hong Kong and its environmental benefits. Renew. Sustain. Energy Rev. 27, 149–162 (2013)CrossRef
93.
Zurück zum Zitat R. Perez, R. Seals, P. Ineichen, R. Stewart, D. Menicucci, A new simplified version of the Perez diffuse irradiance model for tilted surfaces. Solar Energy 39(3), 221–231 (1987)CrossRef R. Perez, R. Seals, P. Ineichen, R. Stewart, D. Menicucci, A new simplified version of the Perez diffuse irradiance model for tilted surfaces. Solar Energy 39(3), 221–231 (1987)CrossRef
94.
Zurück zum Zitat I.R. Pillai, R. Banerjee, Methodology for estimation of potential for solar water heating in a target area. Solar Energy 81(2), 162–172 (2007)CrossRef I.R. Pillai, R. Banerjee, Methodology for estimation of potential for solar water heating in a target area. Solar Energy 81(2), 162–172 (2007)CrossRef
95.
Zurück zum Zitat Z. Ramedani, M. Omid, A. Keyhani, S. Shamshirband, B. Khoshnevisan, Potential of radial basis function based support vector regression for global solar radiation prediction. Renew. Sustain. Energy Rev. 39, 1005–1011 (2014)CrossRef Z. Ramedani, M. Omid, A. Keyhani, S. Shamshirband, B. Khoshnevisan, Potential of radial basis function based support vector regression for global solar radiation prediction. Renew. Sustain. Energy Rev. 39, 1005–1011 (2014)CrossRef
96.
Zurück zum Zitat M.A. Ramli, S. Twaha, Y.A. Al-Turki, Investigating the performance of support vector machine and artificial neural networks in predicting solar radiation on a tilted surface: Saudi Arabia case study. Energy Convers. Manag. 105, 442–452 (2015)CrossRef M.A. Ramli, S. Twaha, Y.A. Al-Turki, Investigating the performance of support vector machine and artificial neural networks in predicting solar radiation on a tilted surface: Saudi Arabia case study. Energy Convers. Manag. 105, 442–452 (2015)CrossRef
97.
Zurück zum Zitat C. Ratti, N. Baker, K. Steemers, Energy consumption and urban texture. Energy Build. 37(7), 762–776 (2005)CrossRef C. Ratti, N. Baker, K. Steemers, Energy consumption and urban texture. Energy Build. 37(7), 762–776 (2005)CrossRef
98.
Zurück zum Zitat P. Redweik, C. Catita, M. Brito, Solar energy potential on roofs and facades in an urban landscape. Solar Energy 97, 332–341 (2013)CrossRef P. Redweik, C. Catita, M. Brito, Solar energy potential on roofs and facades in an urban landscape. Solar Energy 97, 332–341 (2013)CrossRef
99.
Zurück zum Zitat S. Rehman, S.G. Ghori, Spatial estimation of global solar radiation using geostatistics. Renew. Energy 21(3–4), 583–605 (2000)CrossRef S. Rehman, S.G. Ghori, Spatial estimation of global solar radiation using geostatistics. Renew. Energy 21(3–4), 583–605 (2000)CrossRef
100.
Zurück zum Zitat D. Reindl, W. Beckman, J. Duffie, Evaluation of hourly tilted surface radiation models. Solar Energy 45(1), 9–17 (1990)CrossRef D. Reindl, W. Beckman, J. Duffie, Evaluation of hourly tilted surface radiation models. Solar Energy 45(1), 9–17 (1990)CrossRef
101.
Zurück zum Zitat L.R. Rodríguez, E. Duminil, J.S. Ramos, U. Eicker, Assessment of the photovoltaic potential at urban level based on 3D city models: a case study and new methodological approach. Solar Energy 146, 264–275 (2017)CrossRef L.R. Rodríguez, E. Duminil, J.S. Ramos, U. Eicker, Assessment of the photovoltaic potential at urban level based on 3D city models: a case study and new methodological approach. Solar Energy 146, 264–275 (2017)CrossRef
102.
Zurück zum Zitat Z. Scen, E. Tan, Simple models of solar radiation data for northwestern part of Turkey. Energy Convers. Manag. 42(5), 587–598 (2001)CrossRef Z. Scen, E. Tan, Simple models of solar radiation data for northwestern part of Turkey. Energy Convers. Manag. 42(5), 587–598 (2001)CrossRef
103.
Zurück zum Zitat J. Schallenberg-Rodríguez, Photovoltaic techno-economical potential on roofs in regions and islands: the case of the Canary Islands. Methodological review and methodology proposal. Renew. Sustain. Energy Rev. 20, 219–239 (2013)CrossRef J. Schallenberg-Rodríguez, Photovoltaic techno-economical potential on roofs in regions and islands: the case of the Canary Islands. Methodological review and methodology proposal. Renew. Sustain. Energy Rev. 20, 219–239 (2013)CrossRef
104.
Zurück zum Zitat A. Skartveit, J.A. Olseth, Modelling slope irradiance at high latitudes. Solar Energy 36(4), 333–344 (1986)CrossRef A. Skartveit, J.A. Olseth, Modelling slope irradiance at high latitudes. Solar Energy 36(4), 333–344 (1986)CrossRef
105.
106.
Zurück zum Zitat A. Sözen, E. Arcaklioǧlu, M. Özalp, E. Kanit, Use of artificial neural networks for mapping of solar potential in Turkey. Appl. Energy 77(3), 273–286 (2004)CrossRef A. Sözen, E. Arcaklioǧlu, M. Özalp, E. Kanit, Use of artificial neural networks for mapping of solar potential in Turkey. Appl. Energy 77(3), 273–286 (2004)CrossRef
107.
Zurück zum Zitat C. Spitters, H. Toussaint, J. Goudriaan, Separating the diffuse and direct component of global radiation and its implications for modeling canopy photosynthesis. Part I. Components of incoming radiation. Agric. Forest Meteorol. 38(1–3), 217–229 (1986)CrossRef C. Spitters, H. Toussaint, J. Goudriaan, Separating the diffuse and direct component of global radiation and its implications for modeling canopy photosynthesis. Part I. Components of incoming radiation. Agric. Forest Meteorol. 38(1–3), 217–229 (1986)CrossRef
108.
Zurück zum Zitat M. Stone, Cross-validatory choice and assessment of statistical predictions. J. R. Stat. Soc. Ser. B (Methodol.) 111–147 (1974) M. Stone, Cross-validatory choice and assessment of statistical predictions. J. R. Stat. Soc. Ser. B (Methodol.) 111–147 (1974)
109.
Zurück zum Zitat H. Sun, D. Gui, B. Yan, Y. Liu, W. Liao, Y. Zhu, C. Lu, N. Zhao, Assessing the potential of random forest method for estimating solar radiation using air pollution index. Energy Convers. Manag. 119, 121–129 (2016)CrossRef H. Sun, D. Gui, B. Yan, Y. Liu, W. Liao, Y. Zhu, C. Lu, N. Zhao, Assessing the potential of random forest method for estimating solar radiation using air pollution index. Energy Convers. Manag. 119, 121–129 (2016)CrossRef
110.
Zurück zum Zitat M. Šúri, J. Hofierka, A new GIS-based solar radiation model and its application to photovoltaic assessments. Trans. GIS 8(2), 175–190 (2004)CrossRef M. Šúri, J. Hofierka, A new GIS-based solar radiation model and its application to photovoltaic assessments. Trans. GIS 8(2), 175–190 (2004)CrossRef
111.
Zurück zum Zitat R.C. Temps, K. Coulson, Solar radiation incident upon slopes of different orientations. Solar Energy 19(2), 179–184 (1977)CrossRef R.C. Temps, K. Coulson, Solar radiation incident upon slopes of different orientations. Solar Energy 19(2), 179–184 (1977)CrossRef
112.
Zurück zum Zitat A. Tereci, D. Schneider, D. Kesten, A. Strzalka, U. Eicker, Energy saving potential and economical analysis of solar systems in the urban quarter Scharnhauser Park, in ISES Solar World Congress 2009, 11–14 Oct 2009, Johannesburg, South Africa (2009) A. Tereci, D. Schneider, D. Kesten, A. Strzalka, U. Eicker, Energy saving potential and economical analysis of solar systems in the urban quarter Scharnhauser Park, in ISES Solar World Congress 2009, 11–14 Oct 2009, Johannesburg, South Africa (2009)
113.
Zurück zum Zitat Y. Tian, R. Davies-Colley, P. Gong, B. Thorrold, Estimating solar radiation on slopes of arbitrary aspect. Agric. Forest Meteorol. 109(1), 67–74 (2001)CrossRef Y. Tian, R. Davies-Colley, P. Gong, B. Thorrold, Estimating solar radiation on slopes of arbitrary aspect. Agric. Forest Meteorol. 109(1), 67–74 (2001)CrossRef
114.
Zurück zum Zitat S. Topçu, S. Dilmaç, Z. Aslan, Study of hourly solar radiation data in Istanbul. Renew. Energy 6(2), 171–174 (1995)CrossRef S. Topçu, S. Dilmaç, Z. Aslan, Study of hourly solar radiation data in Istanbul. Renew. Energy 6(2), 171–174 (1995)CrossRef
115.
Zurück zum Zitat A.J.M. van Wijk, J.P. Coelingh, Wind Power Potential in the OECD Countries (Department of Science, Technology and Society, Utrecht University, 1993) A.J.M. van Wijk, J.P. Coelingh, Wind Power Potential in the OECD Countries (Department of Science, Technology and Society, Utrecht University, 1993)
116.
Zurück zum Zitat V. Vapnik, The Nature of Statistical Learning Theory (Springer Science & Business Media, 2000) V. Vapnik, The Nature of Statistical Learning Theory (Springer Science & Business Media, 2000)
117.
Zurück zum Zitat R. Vardimon, Assessment of the potential for distributed photovoltaic electricity production in Israel. Renew. Energy 36(2), 591–594 (2011)CrossRef R. Vardimon, Assessment of the potential for distributed photovoltaic electricity production in Israel. Renew. Energy 36(2), 591–594 (2011)CrossRef
118.
Zurück zum Zitat C. Voyant, G. Notton, S. Kalogirou, M.-L. Nivet, C. Paoli, F. Motte, A. Fouilloy, Machine learning methods for solar radiation forecasting: a review. Renew. Energy 105, 569–582 (2017)CrossRef C. Voyant, G. Notton, S. Kalogirou, M.-L. Nivet, C. Paoli, F. Motte, A. Fouilloy, Machine learning methods for solar radiation forecasting: a review. Renew. Energy 105, 569–582 (2017)CrossRef
119.
Zurück zum Zitat R. Webster, M. Oliver, Geostatistics for Environmental Scientists (2001) R. Webster, M. Oliver, Geostatistics for Environmental Scientists (2001)
120.
Zurück zum Zitat L. Wiginton, H.T. Nguyen, J.M. Pearce, Quantifying rooftop solar photovoltaic potential for regional renewable energy policy. Comput. Environ. Urban Syst. 34(4), 345–357 (2010)CrossRef L. Wiginton, H.T. Nguyen, J.M. Pearce, Quantifying rooftop solar photovoltaic potential for regional renewable energy policy. Comput. Environ. Urban Syst. 34(4), 345–357 (2010)CrossRef
121.
Zurück zum Zitat C.J. Willmott, On the climatic optimization of the tilt and azimuth of flat-plate solar collectors. Solar Energy 28(3), 205–216 (1982)MathSciNetCrossRef C.J. Willmott, On the climatic optimization of the tilt and azimuth of flat-plate solar collectors. Solar Energy 28(3), 205–216 (1982)MathSciNetCrossRef
122.
Zurück zum Zitat C.J. Willmott, K. Matsuura, Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance. Clim. Res. 30(1), 79–82 (2005)CrossRef C.J. Willmott, K. Matsuura, Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance. Clim. Res. 30(1), 79–82 (2005)CrossRef
123.
Zurück zum Zitat W.L. Woon, Z. Aung, O. Kramer, S. Madnick, in Data Analysis for Renewable Energy Integration: 4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, 23 Sept 2016, Revised Selected Papers, vol. 10097 (Springer, 2017) W.L. Woon, Z. Aung, O. Kramer, S. Madnick, in Data Analysis for Renewable Energy Integration: 4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, 23 Sept 2016, Revised Selected Papers, vol. 10097 (Springer, 2017)
124.
Zurück zum Zitat R. Yacef, M. Benghanem, A. Mellit, Prediction of daily global solar irradiation data using Bayesian neural network: a comparative study. Renew. Energy 48, 146–154 (2012)CrossRef R. Yacef, M. Benghanem, A. Mellit, Prediction of daily global solar irradiation data using Bayesian neural network: a comparative study. Renew. Energy 48, 146–154 (2012)CrossRef
125.
Zurück zum Zitat A.K. Yadav, S. Chandel, Solar radiation prediction using Artificial Neural Network techniques: a review. Renew. Sustain. Energy Rev. 33, 772–781 (2014)CrossRef A.K. Yadav, S. Chandel, Solar radiation prediction using Artificial Neural Network techniques: a review. Renew. Sustain. Energy Rev. 33, 772–781 (2014)CrossRef
126.
Zurück zum Zitat W. Yao, Z. Li, Y. Lu, F. Jiang, C. Li, New models for separating hourly diffuse and direct components of global solar radiation, in Proceedings of the 8th International Symposium on Heating, Ventilation and Air Conditioning (Springer, 2014), pp. 653–663 W. Yao, Z. Li, Y. Lu, F. Jiang, C. Li, New models for separating hourly diffuse and direct components of global solar radiation, in Proceedings of the 8th International Symposium on Heating, Ventilation and Air Conditioning (Springer, 2014), pp. 653–663
127.
Zurück zum Zitat J.K. Yohanna, I.N. Itodo, V.I. Umogbai, A model for determining the global solar radiation for Makurdi, Nigeria. Renew. Energy 36(7), 1989–1992 (2011)CrossRef J.K. Yohanna, I.N. Itodo, V.I. Umogbai, A model for determining the global solar radiation for Makurdi, Nigeria. Renew. Energy 36(7), 1989–1992 (2011)CrossRef
128.
Zurück zum Zitat C.-D. Yue, S.-S. Wang, GIS-based evaluation of multifarious local renewable energy sources: a case study of the Chigu area of southwestern Taiwan. Energy Policy 34(6), 730–742 (2006)CrossRef C.-D. Yue, S.-S. Wang, GIS-based evaluation of multifarious local renewable energy sources: a case study of the Chigu area of southwestern Taiwan. Energy Policy 34(6), 730–742 (2006)CrossRef
Metadaten
Titel
Estimation of Large-Scale Solar Rooftop PV Potential for Smart Grid Integration: A Methodological Review
verfasst von
Dan Assouline
Nahid Mohajeri
Jean-Louis Scartezzini
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-74412-4_11

Neuer Inhalt