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• W2577777943 abstract "Abstract Due to the environmental concerns, it attracts more and more attention on the usage of the clean energy, such as the wind power. An important utilization of wind power is to charge the clean-emission electric vehicles (EVs). However, due to the uncertainties in the wind supply and EV moving, it is still challenging to schedule the EV charging and the wind power generation to improve the wind power utilization. This paper reviews the existing models and methods on solving this scheduling problem. We make the following contributions. First, we review the existing models for the wind power prediction. The differences of these models are analyzed. Second, we review the existing models for the EV moving prediction. The main challenges in the prediction will be discussed. Third, we discuss the existing methods to schedule the EV charging load to match the wind power. Several future research directions of this scheduling problem are discussed." @default.
• W2577777943 created "2017-01-26" @default.
• W2577777943 creator A5044965133 @default.
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• W2577777943 date "2015-01-01" @default.
• W2577777943 modified "2023-10-06" @default.
• W2577777943 title "A Review of EV Load Scheduling with Wind Power Integration**This work is supported in part by NSFC (61222302, 61174072, 61221063, 91224008, and U1301254), 111 International Collaboration Program of China (B06002), the National Key Technology R&D Program (2013BAG18B00), TNList Funding for Cross Disciplinary Research, TNList Funding for Excellent Young Scholar, and the Program for New Star of Science and Technology in Beijing (No. xx2014B056). Q.-S. Jia is the corresponding author." @default.
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• W2577777943 doi "https://doi.org/10.1016/j.ifacol.2015.12.129" @default.
• W2577777943 hasPublicationYear "2015" @default.
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