Speaker: Pierre Pinson, Chair of Data-centric Design Engineering, Imperial College London

Time: 16:00-17:30 p.m., May 22, 2023, GMT+8

Venue: Zoom Meeting ID: 868 7974 5210 Passcode: 389305

Abstract:

The operation of energy systems heavily relies on data, where most agents would benefit from also accommodating data (or more generally information) for other agents. There does not exist, however, a general framework that would allow incentivizing information sharing, with the general objective of improving energy system operation in a liberalized market environment. So far, data has largely been taken for granted as a free and highly accessible commodity in energy systems operations, which is in glaring contrast to the growing concern over privacy both on small individual energy user levels, and on large corporate or even national levels. We hence propose to explore designs for data marketplaces that would be relevant for energy systems. As a special case, emphasis is placed on data markets linked to specific analytics tasks e.g. regression as a support to forecasting (may be least-squares or quantile regression for instance). Our proposal specifically focuses on yielding the right market properties, e.g., to incentivize data sellers to provide high-quality data while being given the freedom to set their individual return threshold based on privacy. Meanwhile, the data buyer balances the trade-off between the payment to the data sellers and their own gain from the additional data. Those proposals are made within both batch and online learning setups, to generally accommodate different types of analytics tasks within energy system operations.

Biography:

Pierre Pinson is the Chair of Data-centric Design Engineering at Imperial College London, Dyson School of Design Engineering. He is a Chief Scientist at Halfspace – a data and AI company in Copenhagen, Denmark, as well as an affiliated Professor of Operations Research at the Technical University of Denmark, Department of Technology, Management and Economics. He is the Editor-in-Chief of the International Journal of Forecasting, the leading scientific journal in the science and applications of forecasting. He is an IEEE Fellow, as well as an INFORMS member and an IIF director. He is on the Highly-cited Researcher list of WoS/Clarivate in 2019, 2020, 2021 & 2022 (cross-field category) for numerous high-impact works in statistics, meteorology, economics and power/energy engineering.

Acknowledgement:

PKU ES Seminar Series is financially supported by the Promotion Plan of“NICE”(Network of International Centers of Education in China), initiated by the State Administration of Foreign Experts Affairs and the Ministry of Education of the People’s Republic of China.

Source: College of Engineering