Nidul Sinha

Machine-intelligent co-optimization of load forecasting and EV scheduling using KAN and TA-V2GS to support VPP design

An integrated machine-intelligent co-optimization framework that integrates high-accuracy load forecasting and tariff-aware adaptive EV dispatch is introduced, which delivers around a 17% reduction in peak demand, a 21%–25% reduction in daily costs, and an 8.6% Net Revenue Index through V2G arbitrage.