A Hybrid Forecasting and Optimization Framework for Electric Vehicle Scheduling in Virtual Power Plants
The present study proposes a hybrid energy management (EM) framework for vehicle‐to‐grid (V2G) enabled virtual power plants (VPPs), integrating Green Anaconda Optimization (GAO) with a Pyramidal Dilation Attention Convolutional Neural Network (PDACNN) for cost‐efficient and adaptive scheduling. The PDACNN module fo...