3 papers
cs.LG2026
Behaviour-Conditioned Neural Processes for Adaptive Residential Short-Term Load Forecasting
Ramin Soleimani, Andrea Visentin, Dirk Pesch
Residential short-term load forecasting (STLF) is challenging because household demand is heterogeneous, temporally variable, and shaped by diverse behavioural routines. This work…
q-fin.ST2025
The Evolution of Probabilistic Price Forecasting Techniques: A Review of the Day-Ahead, Intra-Day, and Balancing Markets
Ciaran O'Connor, Mohamed Bahloul, Steven Prestwich +1
Electricity price forecasting has become a critical tool for decision-making in energy markets, particularly as the increasing penetration of renewable energy introduces greater vo…
cs.LG2025
Conformal Prediction for Electricity Price Forecasting in the Day-Ahead and Real-Time Balancing Market
Ciaran O'Connor, Mohamed Bahloul, Roberto Rossi +2
The integration of renewable energy into electricity markets poses significant challenges to price stability and increases the complexity of market operations. Accurate and reliabl…