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

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
Main Author: Xing Zhang
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Energies
Subjects:
short-term load forecasting
electric bus charging station
fuzzy clustering
least squares support vector machine
wolf pack algorithm
Online Access:http://www.mdpi.com/1996-1073/11/6/1449

Internet

http://www.mdpi.com/1996-1073/11/6/1449

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