Buildings account for over a third of end energy demand in many countries worldwide.
Modelling this demand accurately marks the first step in producing forecasts that can help …

Generally, day-ahead unit commitment (UC) is conducted in a predict-then-optimize
process: it starts by predicting the renewable energy source (RES) availability and system …

Renewables are the greener substitute for the conventional polluting sources of generating
energy. For their successful integration into the power grid, accurate forecasts are required …

This paper presents the real-world smart-meter dataset and offers an analysis of solutions
derived from the Energy Prediction Technical Challenges, focusing primarily on two key …

Effective operation of a microgrid depends critically on accurate forecasting of its
components. Recently, internet forecasting competitions have been used to determine the …

Currently, most operation tasks in power systems utilize an open-loop predict-then-optimize
(OPO) process, which consists of two sequential phases: prediction and optimization …

Forecasts underpin most modern planning activities. However, an age-old question persists
in their creation: should forecast models prioritize accuracy or downstream utility? This …