Hao-Ran Luo

Electric Vehicle Charging Demand Prediction in Shenzhen Based on Random Forest and LSTM

Reliably forecasting how much energy electric vehicles (EVs) will require at public chargers is a prerequisite for infrastructure planning and matching available capacity to real-world usage. This study compares two representative approaches, Random Forest and Long Short-Term Memory (LSTM), to forecast hourly charging...