Comparison of model forecasting accuracy under 5 sliding window lengths 252

Comparison of model forecasting accuracy under 5 sliding window lengths 252

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As the large-scale development of electric vehicles (EVs), accurate short-term charging load forecasting for EVs is the basis of vehicle to grid (V2G) interaction. In this paper, considering the uncertainties of EV users' charging behavior, a multi-layer Long Short-Term Memory (LSTM) model considering sliding windows and online learning is proposed...