Research on Multi Scenario User Charging Behavior Habit Model Based on LSTM Driven by Historical Data
DOI:
https://doi.org/10.54097/hset.v70i.13864Keywords:
electric vehicle, LSTM, charging behavior habit model, charging power.Abstract
Under the advocacy of low-carbon and environmental protection, electric vehicles have ushered in rapid development, and the following user charging problems also need to be considered. The consistency of charging stations makes the charging power the same, resulting in different charging efficiencies of different electric vehicles. Based on this, this paper proposes a multi-scenario user charging behavior habit model based on LSTM driven by historical data, which predicts the charging habits of different electric vehicle users, and provides better support for the subsequent multi-charging power allocation strategy. Finally, the data simulation results show that the model and method can more accurately predict the user's charging behavior.
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