Fuzzy Forecasting Methods for Energy Planning

  • Basar Oztaysi
  • Sezi Çevik Onar
  • Eda Bolturk
  • Cengiz Kahraman
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 149)


For energy planning, forecasting the energy demand for a specific time interval and supply of a specific source is very crucial. In the energy sector, forecasting may be long term, midterm or short term. While traditional forecasting techniques provide results for crisp data, for data with imprecision or vagueness fuzzy based approaches can be used. In this chapter, fuzzy forecasting methods such as, fuzzy time series (FTS), fuzzy regression, adaptive network-based fuzzy inference system (ANFIS) and fuzzy inference systems (FIS) as explained. Later, an extended literature review of fuzzy forecasting in energy planning is provided. Finally, a numerical application is given to give a better understanding of fuzzy forecasting approaches.



As a specialist in Information Technologies Department, Eda Bolturk thanks İstanbul Takas ve Saklama Bankası A.S. for getting support for this study.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Basar Oztaysi
    • 1
  • Sezi Çevik Onar
    • 1
  • Eda Bolturk
    • 2
  • Cengiz Kahraman
    • 1
  1. 1.Istanbul Technical UniversityMacka, IstanbulTurkey
  2. 2.Istanbul Takas ve Saklama Bankası A.SIstanbulTurkey

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