[HTML][HTML] Multistep electric vehicle charging station occupancy prediction using hybrid LSTM neural networks
Public charging station occupancy prediction plays key importance in developing a smart
charging strategy to reduce electric vehicle (EV) operator and user inconvenience. However,
existing studies are mainly based on conventional econometric or time series
methodologies with limited accuracy. We propose a new mixed long short-term memory
neural network incorporating both historical charging state sequences and time-related
features for multistep discrete charging occupancy state prediction. Unlike the existing LSTM …
charging strategy to reduce electric vehicle (EV) operator and user inconvenience. However,
existing studies are mainly based on conventional econometric or time series
methodologies with limited accuracy. We propose a new mixed long short-term memory
neural network incorporating both historical charging state sequences and time-related
features for multistep discrete charging occupancy state prediction. Unlike the existing LSTM …
[PDF][PDF] Multistep electric vehicle charging station occupancy prediction using mixed LSTM neural networks
Public charging station occupancy prediction plays key importance in developing a smart
charging strategy to reduce electric vehicle (EV) operator and user inconvenience. However,
existing studies are mainly based on conventional econometric or time series
methodologies with limited accuracy. We propose a new mixed long short-term memory
neural network incorporating both historical charging state sequences and timerelated
features for multistep discrete charging occupancy state prediction. Unlike the existing LSTM …
charging strategy to reduce electric vehicle (EV) operator and user inconvenience. However,
existing studies are mainly based on conventional econometric or time series
methodologies with limited accuracy. We propose a new mixed long short-term memory
neural network incorporating both historical charging state sequences and timerelated
features for multistep discrete charging occupancy state prediction. Unlike the existing LSTM …
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