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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Published in | Energies (Basel) Vol. 11; no. 6; p. 1449 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Basel
MDPI AG
01.06.2018
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Subjects | |
Online Access | Get full text |
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