Energy Demand Load Forecasting for Electric Vehicle Charging Stations Network Based on ConvLSTM and BiConvLSTM Architectures.
Faisal MohammadDong-Ki KangMohamed A. AhmedYoung-Chon KimPublished in: IEEE Access (2023)
Keyphrases
- renewable energy
- electric vehicle charging
- load forecasting
- wind power
- power generation
- short term
- short term load forecasting
- power system
- long term
- electric power
- wind speed
- rbf neural network
- power consumption
- bp neural network
- support vector regression
- forecasting model
- electricity markets
- electric vehicles
- power supply
- wind turbine
- fuzzy logic
- neural network