Short-Term Load Forecasting for Electric Bus Charging Stations Based on Fuzzy Clustering and Least Squares Support Vector Machine Optimized by Wolf Pack Algorithm

Accurate short-term load forecasting is of momentous significance to ensure safe and economic operation of quick-change electric bus (e-bus) charging stations. In order to improve the accuracy and stability of load prediction, this paper proposes a hybrid model that combines fuzzy clustering (FC), l...

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Bibliographic Details
Published inEnergies (Basel) Vol. 11; no. 6; p. 1449
Main Author Zhang, Xing
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.06.2018
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