Data-Driven Correlated Uncertainty Sets for PV Generation and Electricity Demand

Conference proceeding

Peer reviewed

Debajyoti Biswas, Cristian Aguayo, Anna Mutule and Paula Carroll

Energy Informatics - 1st Nordic Energy Informatics Academy Conference, EIA Nordic 2025, Proceedings, Vol.16096, pp.187-203

2026

Abstract

correlated uncertainty

energy analytics

energy community

holistic optimisation

renewable energy

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Title: Data-Driven Correlated Uncertainty Sets for PV Generation and Electricity Demand
Creators: Debajyoti Biswas - University College Dublin
Cristian Aguayo - Université Libre de Bruxelles
Anna Mutule - Institute of Physical Energetics
Paula Carroll - University College Dublin
Publication Details: Energy Informatics - 1st Nordic Energy Informatics Academy Conference, EIA Nordic 2025, Proceedings, Vol.16096, pp.187-203
Number of pages: 17
Publication Date: 2026
Grant note: R801020F / Fonds De La Recherche Scientifique - FNRS (http://data.elsevier.com/vocabulary/SciValFunders/501100002661) CHIST-ERA (501100001942) Fonds De La Recherche Scientifique - FNRS (http://data.elsevier.com/vocabulary/SciValFunders/501100002661) Supporting Energy Communities-Operational Research and Energy Analytics
Identifiers: 991153595302346; WOS:001667083100013
Academic Unit: Surrey Business School
Language: English
Resource Type: Conference proceeding