Dual-Path Verified Load Forecasting: Mitigating Error Accumulation for Virtual Power-Plant Market Operation
Advancements in the new power system and the large-scale integration of distributed photovoltaics, wind power, energy storage, and other resources make virtual power plants a core vector for coordinated regulation across the source, grid, load, and storage domains. Accurate load forecasting is essential for virtual power plants to participate in power market transactions and comply with dispatching instructions. However, traditional single-path forecasting models suffer from poor robustness to interference and the amplification of cumulative errors, failing to accommodate complex, fluctuating multi-resource operating scenarios. Such forecasting errors directly translate into excessive market-declaration deviations and economic penalties, thereby restricting the operational accuracy and market applications of virtual power plants in real‑world engineering.
