Date and time: Thursday 5 March 2026, 13:00-14:00 CET
Speaker: Dr. Adrián Esteban Perez, DSV, Stockholm University
Title: Towards Prescriptive Analytics in Energy Systems
Where: Digital Futures hub, Osquars Backe 5, floor 2 at KTH main campus OR Zoom
Directions: https://www.digitalfutures.kth.se/contact/how-to-get-here/
OR
Host: Wouter Jongeneel wouterjo@kth.se
Bio: Dr. Adrián Esteban Perez is an Associate Senior Lecturer at the Department of Computer and Systems Sciences (DSV) since August 2025. He completed his PhD at the University of Malaga under the supervision of Prof. Juan M. Morales. He was previously a postdoctoral researcher at the Rotterdam School of Management and the University of Malaga, and has also held several research stays at EPFL in Lausanne, Switzerland.
His research focuses on data-driven optimization under uncertainty and prescriptive analytics, with applications in energy systems, forecasting, and electricity markets.
Abstract: Prescriptive analytics integrates predictive modeling with optimization to not only anticipate future outcomes but also reveal and exploit the underlying decision-making mechanisms that shape them. In energy systems, this approach provides a powerful framework for understanding and forecasting electricity demand responses to dynamic price signals—an increasingly critical challenge for system operators, retailers, and regulators or energy trading.
Traditional time series and machine learning models perform well under stable consumption patterns but fail to capture the emerging complexity of active consumers equipped with flexible assets such as solar-plus-storage systems and electric vehicles. These prosumers exhibit behind-the-meter behaviors that remain largely unobservable, as only net demand is measured at the grid connection points. The results demonstrate how solving an inverse optimization model can bridge forecasting and operational decision-making, advancing prescriptive analytics as a key tool for flexible, data-driven electricity markets.
