Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning

Hepeng Li Haibo He
Hepeng Li Haibo He

IEEE Trans. Smart Grid, pp. 5246-5257, 2019.

Cited by: 0|Bibtex|Views5|DOI:https://doi.org/10.1109/TSG.2018.2879572
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Other Links: academic.microsoft.com|dblp.uni-trier.de

Abstract:

Driven by the recent advances in electric vehicle (EV) technologies, EVs become important for smart grid economy. When EVs participate in demand response program which has real-time pricing signals, the charging cost can be greatly reduced by taking full advantage of these pricing signals. However, it is challenging to determine an optima...More

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