Short-term load forecasting using a hybrid model with a refined exponentially weighted fuzzy time series and an improved harmony search

• Published in: International journal of electrical power & energy systems Vol. 62; pp. 118 - 129
• Main Authors: Sadaei, Hossein Javedani, Enayatifar, Rasul, Abdullah, Abdul Hanan, Gani, Abdullah
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.11.2014; Elsevier
• Subjects: Algorithms; Applied sciences; Auto correlation function; Electric power generation; Electrical engineering. Electrical power engineering; Electrical power engineering; Exact sciences and technology; Exponentially weighted fuzzy time series; Fuzzy; Fuzzy logic; Fuzzy set theory; Harmony search; Mathematical models; Operation. Load control. Reliability; Power networks and lines; Proposals; Searching; Short term load forecasting; France; Europe; Auto correlation function; Exponentially weighted fuzzy time series; Harmony search; Short term load forecasting; Short term; Autocorrelation function; Error analysis; Error estimation; Demand forecasting; Time series; Forecasting management; Learning; Case study; Fuzzy algorithm; Load management; Hybrid model; Comparative study

•A three Phases hybrid method was introduced for Short Term Load Forecasting.•The first Phase discusses the primitives for initialization and inputting.•The second Phase is linked with the Improved Harmony Search procedure.•The third Phase is concerned with a typical fuzzy time series algorithm.•The...