Fuzzy Forecasting Methods for Energy Planning


Öztayşi B. , Çevik Onar S. , Bolturk E., Kahraman C.

ENERGY MANAGEMENT-COLLECTIVE AND COMPUTATIONAL INTELLIGENCE WITH THEORY AND APPLICATIONS, cilt.149, ss.65-81, 2018 (Diğer Kurumların Hakemli Dergileri) identifier

  • Cilt numarası: 149
  • Basım Tarihi: 2018
  • Doi Numarası: 10.1007/978-3-319-75690-5_4
  • Dergi Adı: ENERGY MANAGEMENT-COLLECTIVE AND COMPUTATIONAL INTELLIGENCE WITH THEORY AND APPLICATIONS
  • Sayfa Sayıları: ss.65-81

Özet

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.