3 papers
cs.LG2025
Leveraging Asynchronous Cross-border Market Data for Improved Day-Ahead Electricity Price Forecasting in European Markets
Maria Margarida Mascarenhas, Jilles De Blauwe, Mikael Amelin +1
Accurate short-term electricity price forecasting is crucial for strategically scheduling demand and generation bids in day-ahead markets. While data-driven techniques have shown c…
cs.LG2022
Is your forecaster smarter than an energy engineer: a deep dive into electricity price forecasting
Maria Margarida Mascarenhas, Hussain Kazmi
The field of electricity price forecasting has seen significant advances in the last years, including the development of new, more accurate forecast models. These models leverage s…
cs.MA2018
Valuing knowledge, information and agency in Multi-agent Reinforcement Learning: a case study in smart buildings
Hussain Kazmi, Johan Suykens, Johan Driesen
Increasing energy efficiency in buildings can reduce costs and emissions substantially. Historically, this has been treated as a local, or single-agent, optimization problem. Howev…