Fuzzy Forecasting Methods for Energy Planning

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Atıf İçin Kopyala

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 (Hakemli Dergi)

• Yayın Türü: Makale / Tam Makale
• 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
• İstanbul Teknik Üniversitesi Adresli: Evet

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.