Papers
1–3 of 3Research Paper·Feb 5, 2026
Day-Ahead Electricity Price Forecasting for Volatile Markets Using Foundation Models with Regularization Strategy
Electricity price forecasting (EPF) is essential for energy markets stakeholders (e.g. grid operators, energy traders, policymakers) but remains challenging due to the inherent volatility and nonlinea...
7.0 viability
Research Paper·Feb 5, 2026·EnergyB2B
Probabilistic Multi-Regional Solar Power Forecasting with Any-Quantile Recurrent Neural Networks
The increasing penetration of photovoltaic (PV) generation introduces significant uncertainty into power system operation, necessitating forecasting approaches that extend beyond deterministic point p...
6.0 viability
Research Paper·Mar 16, 2026
Predictive Uncertainty in Short-Term PV Forecasting under Missing Data: A Multiple Imputation Approach
Missing values are common in photovoltaic (PV) power data, yet the uncertainty they induce is not propagated into predictive distributions. We develop a framework that incorporates missing-data uncert...
5.0 viability