Causality in Electricity Markets#
A comprehensive guide to understanding and applying causal inference techniques in electricity markets, designed for practitioners, students, and researchers.
Published: July 2024
About the authors
Davide Cacciarelli is a Research Associate at Imperial College London’s Analytics & Markets Lab. He holds a dual Ph.D. from the Technical University of Denmark and the Norwegian University of Science and Technology, and his areas of interest include active learning, causal inference, design of experiments, and statistical process control.
Pierre Pinson is the Chair of Data-centric Design Engineering at Imperial College London, Dyson School of Design Engineering, as well as the Deputy-head of School. He is a Chief Scientist at Halfspace – a data and AI company in Copenhagen, Denmark, as well as an affiliated Professor of Analytics and Operations Research at the Technical University of Denmark, Department of Technology, Management and Economics, and an affiliated International Research fellow at CoRE, Aarhus University. He is the Editor-in-Chief of the International Journal of Forecasting, the leading scientific journal in the science and applications of forecasting.
Imperial College London
Contact Information: for inquiries, please contact d.cacciarelli@imperial.ac.uk.