Skip to main content
Top

2017 | OriginalPaper | Chapter

Design of a Fuzzy Logic Based Framework for Comprehensive Anomaly Detection in Real-World Energy Consumption Data

Authors : Muriel Hol, Aysenur Bilgin

Published in: BNAIC 2016: Artificial Intelligence

Publisher: Springer International Publishing

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

search-config
loading …

Abstract

Due to the rapid growth of energy consumption worldwide, it has become a necessity that the energy waste caused by buildings is explicated by the aid of automated systems that can identify anomalous behaviour. Comprehensible anomaly detection, however, is a challenging task considering the lack of annotated real-world data in addition to the real-world uncertainties such as changing weather conditions and varying building features. Fuzzy Logic enables modelling knowledge-based non-linear systems that can handle these uncertainties, and facilitates modelling human interpretable systems. This paper proposes a new method for annotating anomalies and a novel framework for interpretable anomaly detection in real-world gas consumption data belonging to the educational buildings of the Hogeschool van Amsterdam. The proposed architecture uses the Wang and Mendel rule learning with k-means clustering and does not require prior knowledge of the data, while preserving transparency of the model behaviour. Experiments have shown that the proposed system matches the performance of existing baselines using an artificial neural network while providing additional desired features such as transparency of the model behaviour and interpretability of the detected anomalies.

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!

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!

Footnotes
1
In FL, set theoretic operations (e.g. intersection, union) are defined in terms of their membership functions.
 
2
sklearn.cluster.KMeans: http://​scikit-learn.​org/​stable/​modules/​clustering.​html#clustering. The default settings were used in this paper.
 
Literature
1.
go back to reference Ahmad, A.S., Hassan, M.Y., Abdullah, M.P., Rahman, H.A., Hussin, F., Abdullah, H., Saidur, R.: A review on applications of ANN and SVM for building electrical energy consumption forecasting. Renew. Sustainable Energy Rev. 33, 102–109 (2014). doi:10.1016/j.rser.2014.01.069 CrossRef Ahmad, A.S., Hassan, M.Y., Abdullah, M.P., Rahman, H.A., Hussin, F., Abdullah, H., Saidur, R.: A review on applications of ANN and SVM for building electrical energy consumption forecasting. Renew. Sustainable Energy Rev. 33, 102–109 (2014). doi:10.​1016/​j.​rser.​2014.​01.​069 CrossRef
2.
go back to reference Alcala, R., Casillas, J., Cord\(\acute{o}\)n, O., Herrera, F., Zwir, S.J.T.: Techniques for learning and tuning fuzzy rule-based systems for linguistic modeling and their application. In: Leondes, C. (ed.) Knowledge Engineering: Systems, Techniques and Applications, pp. 889–941. Academic Press, San Diego (1999) Alcala, R., Casillas, J., Cord\(\acute{o}\)n, O., Herrera, F., Zwir, S.J.T.: Techniques for learning and tuning fuzzy rule-based systems for linguistic modeling and their application. In: Leondes, C. (ed.) Knowledge Engineering: Systems, Techniques and Applications, pp. 889–941. Academic Press, San Diego (1999)
3.
go back to reference Casillas, J., Cord\(\acute{o}\)n, O., Herrera, F.: Improving the Wang and Mendel’s fuzzy rule learning method by inducing cooperation among rules. In: Proceedings of the 8th Information Processing and Management of Uncertainty in Knowledge-Based Systems Conference, pp. 1682–1688 (2000) Casillas, J., Cord\(\acute{o}\)n, O., Herrera, F.: Improving the Wang and Mendel’s fuzzy rule learning method by inducing cooperation among rules. In: Proceedings of the 8th Information Processing and Management of Uncertainty in Knowledge-Based Systems Conference, pp. 1682–1688 (2000)
5.
go back to reference Cleveland, R.B., Cleveland, W.S., McRae, J.E., Terpenning, I.: STL: a seasonal-Trend decomposition procedure based on loess. J. Official Statist. 6, 3–73 (1990) Cleveland, R.B., Cleveland, W.S., McRae, J.E., Terpenning, I.: STL: a seasonal-Trend decomposition procedure based on loess. J. Official Statist. 6, 3–73 (1990)
7.
go back to reference De Nadai, M., van Someren, M.: Short-term anomaly detection in gas consumption through arima and artificial neural network forecast. In: Proceedings of 2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS 2015), pp. 250–255. IEEE, New York (2015). doi:10.1109/EESMS.2015.7175886 De Nadai, M., van Someren, M.: Short-term anomaly detection in gas consumption through arima and artificial neural network forecast. In: Proceedings of 2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS 2015), pp. 250–255. IEEE, New York (2015). doi:10.​1109/​EESMS.​2015.​7175886
8.
9.
go back to reference Katipamula, S., Brambley, M.R.: Review article: methods for fault detection, diagnostics, and prognostics for building systems: a review, Part I. HVAC & R. Res. 11, 3–25 (2005)CrossRef Katipamula, S., Brambley, M.R.: Review article: methods for fault detection, diagnostics, and prognostics for building systems: a review, Part I. HVAC & R. Res. 11, 3–25 (2005)CrossRef
11.
go back to reference Mendel, J.M.: Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Direction. Prentice Hall, Upper Saddle River (2001). ISBN: 978-0130409690MATH Mendel, J.M.: Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Direction. Prentice Hall, Upper Saddle River (2001). ISBN: 978-0130409690MATH
15.
go back to reference Rocha, A., Papa, J.P., Meira, L.A.A.: How far you can get using machine learning black-boxes. In: Conference on Graphics, Patterns and Images, vol. 16, pp. 1530–01834. IEEE (2010). doi:10.1109/SIBGRAPI.2010.34 Rocha, A., Papa, J.P., Meira, L.A.A.: How far you can get using machine learning black-boxes. In: Conference on Graphics, Patterns and Images, vol. 16, pp. 1530–01834. IEEE (2010). doi:10.​1109/​SIBGRAPI.​2010.​34
16.
go back to reference Sanz, F., Ramrez, J., Correa, R.: Fuzzy inference systems applied to the analysis of vibrations in electrical machines. Fuzzy Inference Syst. Theory Appl. (2012). doi:10.5772/37448 Sanz, F., Ramrez, J., Correa, R.: Fuzzy inference systems applied to the analysis of vibrations in electrical machines. Fuzzy Inference Syst. Theory Appl. (2012). doi:10.​5772/​37448
17.
go back to reference Singh, H., Gupta, M.M., Meitzler, T., Hou, Z., Garg, K.K., Solo, A.M.G., Zadeh, L.A.: Real-Life Applications of Fuzzy Logic, Advances in Fuzzy Systems. Hindawi Publishing Corporation (2013). doi:10.1155/2013/581879 Singh, H., Gupta, M.M., Meitzler, T., Hou, Z., Garg, K.K., Solo, A.M.G., Zadeh, L.A.: Real-Life Applications of Fuzzy Logic, Advances in Fuzzy Systems. Hindawi Publishing Corporation (2013). doi:10.​1155/​2013/​581879
19.
go back to reference Wang, L.X., Mendel, J.M.: Generating fuzzy rules by learning from examples. IEE Trans. Syst. Syst. Man Cybern. 22, 1414–1427 (1992)MathSciNetCrossRef Wang, L.X., Mendel, J.M.: Generating fuzzy rules by learning from examples. IEE Trans. Syst. Syst. Man Cybern. 22, 1414–1427 (1992)MathSciNetCrossRef
20.
go back to reference Wijayasekera, D., Linda, O., Manic, M., Rieger, C.: Mining building energy management system data using fuzzy anomaly detection and linguistic descriptions. IEEE Trans. Industr. Inform. 10, 1829–1839 (2014). doi:10.1109/TII.2014.2328291 CrossRef Wijayasekera, D., Linda, O., Manic, M., Rieger, C.: Mining building energy management system data using fuzzy anomaly detection and linguistic descriptions. IEEE Trans. Industr. Inform. 10, 1829–1839 (2014). doi:10.​1109/​TII.​2014.​2328291 CrossRef
Metadata
Title
Design of a Fuzzy Logic Based Framework for Comprehensive Anomaly Detection in Real-World Energy Consumption Data
Authors
Muriel Hol
Aysenur Bilgin
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-319-67468-1_9

Premium Partner