DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load

arXiv:2402.13548v1 Announce Type: new
Abstract: Due to the vast electric vehicle (EV) penetration to distribution grid, charging load forecasting is essential to promote charging station operation and demand-side management.However, the stochastic charging behaviors and associated exogenous factors render future charging load patterns quite volatile and hard to predict. Accordingly, we devise a novel Diffusion model termed DiffPLF for Probabilistic Load Forecasting of EV charging, which can explicitly approximate the predictive load distribution conditioned on historical data and related covariates. Specifically, …

abstract arxiv charging cs.lg demand diffusion diffusion model distribution eess.sp electric electric vehicle ev charging exogenous forecasting future grid management patterns promote stochastic type vast