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Aleksandr Zavodovski

University of Oulu

P.O. Box 4600

Oulu FIN-90014, 90570

Finland

SCHOLARLY PAPERS

1

DOWNLOADS

92

TOTAL CITATIONS

0

Scholarly Papers (1)

Co-Optimization of Demand Response Aggregators and Distribution System Operator for Resilient Operation Using Machine Learning Based Wind Generation Forecasting: A Bilevel Approach

Number of pages: 26 Posted: 18 Sep 2024
University of Oulu - Faculty of Technology, Energy and Environmental Engineering, University of Oulu, University of Oulu, University of Oulu, University of Oulu - Faculty of Technology, Energy and Environmental Engineering, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 44 (1,157,169)

Abstract:

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Demand Response, Machine Learning, Forecasting, Resilience, Demand Response Aggregator

Co-Optimization of Demand Response Aggregators and Distribution System Operator for Resilient Operation Using Machine Learning Based Wind Generation Forecasting: A Bilevel Approach

Number of pages: 25 Posted: 11 Jul 2024
University of Oulu - Faculty of Technology, Energy and Environmental Engineering, University of Oulu, University of Oulu, University of Oulu, University of Oulu - Faculty of Technology, Energy and Environmental Engineering, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 25 (1,430,393)

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Demand Response, Demand Response Aggregator, Resilience, Day-ahead Operation, Machine learning, Forecasting

Co-Optimization of Demand Response Aggregators and Distribution System Operator for Resilient Operation Using Machine Learning Based Wind Generation Forecasting: A Bilevel Approach

Number of pages: 25 Posted: 23 Jul 2024
University of Oulu - Faculty of Technology, Energy and Environmental Engineering, University of Oulu, University of Oulu, University of Oulu, University of Oulu - Faculty of Technology, Energy and Environmental Engineering, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 23 (1,459,262)

Abstract:

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Demand response, Demand Response Aggregator, Resilience, Day-ahead Operation, Machine Learning, Forecasting