27 citations · 29 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
Creating synthetic energy meter data using conditional diffusion and building metadata
Chun Fu, Hussain Kazmi, Matias Quintana +1
Advances in machine learning and increased computational power have driven progress in energy-related research. However, limited access to private energy data from buildings hinder…
The Forecastability of Underlying Building Electricity Demand from Time Series Data
Mohamad Khalil, A. Stephen McGough, Hussain Kazmi +1
Forecasting building energy consumption has become a promising solution in Building Energy Management Systems for energy saving and optimization. Furthermore, it can play an import…
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…