Skip to main content
Top

2018 | OriginalPaper | Chapter

Renewable Energy Capacity Estimation for Indian Energy Sector Using Energy Demand Forecasting Through Fuzzy Time Series

Authors : Shibabrata Choudhury, Aswini Kumar Patra, Adikanda Parida, Saibal Chatterjee

Published in: Advances in Smart Grid and Renewable Energy

Publisher: Springer Singapore

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Rapid industrialization, change in lifestyle, population growth, etc., influence the demand for energy exponentially. Till date, fossil fuel constitutes the major component of energy mix of developing countries. The declined availability of fossil fuel is a cause of concern for developing countries like India. In this paper, the probable future energy demand trend has been depicted based on the combination of k-means clustering, and the two-factor and three-order fuzzy time series techniques considering the three decade energy scenario of India in particular. Further, the paper has outlined the need and significance of renewable energy as it compensates the energy deficit in a comparative cost-effective and environmental friendly manner.

Dont have a licence yet? Then find out more about our products and how to get one now:

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!

Literature
1.
go back to reference Sorrell, S.: Reducing energy demand: a review of issues challenges and approaches. Renew. Sustain. Energy Rev. 47, 74–82 (2015)CrossRef Sorrell, S.: Reducing energy demand: a review of issues challenges and approaches. Renew. Sustain. Energy Rev. 47, 74–82 (2015)CrossRef
2.
go back to reference Day, R., Walker, G., Simmock, N.: Conceptualising energy use and energy poverty using a capabilities frame work. Energy Policy 93, 255–264 (2016)CrossRef Day, R., Walker, G., Simmock, N.: Conceptualising energy use and energy poverty using a capabilities frame work. Energy Policy 93, 255–264 (2016)CrossRef
3.
go back to reference Terrapon-Pfaff, J., Dienst, C., Koning, J., Ortiz, W.: A cross-sectional review: impacts and sustainability of small-scale renewable energy projects in developing countries. Renew. Sustain. Energy Rev. 40, 1–10 (2014)CrossRef Terrapon-Pfaff, J., Dienst, C., Koning, J., Ortiz, W.: A cross-sectional review: impacts and sustainability of small-scale renewable energy projects in developing countries. Renew. Sustain. Energy Rev. 40, 1–10 (2014)CrossRef
4.
go back to reference Lo, K.: A critical review of China’s rapidly developing renewable energy and energy efficiency policies. Renew. Sustain. Energy Rev. 29, 508–516 (2014)CrossRef Lo, K.: A critical review of China’s rapidly developing renewable energy and energy efficiency policies. Renew. Sustain. Energy Rev. 29, 508–516 (2014)CrossRef
5.
go back to reference Growth of electricity sector in India from 1947–2013, by Central Electricity Authority, Ministry of Power, July 2013 Growth of electricity sector in India from 1947–2013, by Central Electricity Authority, Ministry of Power, July 2013
6.
go back to reference Wang, N., Chen, S.: Temperature prediction and TAIFEX forecasting based on automatic clustering techniques and two-factor high-order fuzzy time series. Expert Syst. Appl. 36, 2143–2154 (2009)CrossRef Wang, N., Chen, S.: Temperature prediction and TAIFEX forecasting based on automatic clustering techniques and two-factor high-order fuzzy time series. Expert Syst. Appl. 36, 2143–2154 (2009)CrossRef
7.
go back to reference Lee, L.W., Wang, L.H., Chen, S.M., Leu, Y.H.: Handling forecasting problem based on two-factor high-order fuzzy time series. IEEE Trans. Fuzzy Syst. 14(3), 468–477 (2006)CrossRef Lee, L.W., Wang, L.H., Chen, S.M., Leu, Y.H.: Handling forecasting problem based on two-factor high-order fuzzy time series. IEEE Trans. Fuzzy Syst. 14(3), 468–477 (2006)CrossRef
8.
go back to reference Song, Q., Chissom, B.S., Fuzzy time series and its model. Fuzzy Sets Syst. 54(3), 269–277 (1993) Song, Q., Chissom, B.S., Fuzzy time series and its model. Fuzzy Sets Syst. 54(3), 269–277 (1993)
Metadata
Title
Renewable Energy Capacity Estimation for Indian Energy Sector Using Energy Demand Forecasting Through Fuzzy Time Series
Authors
Shibabrata Choudhury
Aswini Kumar Patra
Adikanda Parida
Saibal Chatterjee
Copyright Year
2018
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-4286-7_54