Identification of fuzzy models for electric distribution network load forecasting

摘要

Majority of electric distribution network extensions and reinforcements are required because of new or additional power demands emerging. Load forecasting is the foundation for planning of an efficient, reliable and economical distribution system. Fuzzy set theory and fuzzy logic provide a proper way to deal with some of the problems related to electric distribution network load forecasting. This paper presents the basic ideas behind the development of formal and objective procedure for fuzzy model identification in spatial load forecasting Fuzzy clustering algorithms as the basis for creation of fuzzy rules are discussed as well as selection of input variables that affect fuzzy model's output. Illustrative examples are given.