Author Page for Adeleye Samuel Adetunji

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

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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

Farid Hamzeh Aghdam, Aleksandr Zavodovski, Adeleye Samuel Adetunji, Mehdi Rasti, Eva Pongrácz, Mohammad Sadegh Javadi and João P. S. Catalão

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:

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

Farid Hamzeh Aghdam, Aleksandr Zavodovski, Adeleye Samuel Adetunji, Mehdi Rasti, Eva Pongrácz, Mohammad Sadegh Javadi and João P. S. Catalão

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)

Abstract:

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

Farid Hamzeh Aghdam, Aleksandr Zavodovski, Adeleye Samuel Adetunji, Mehdi Rasti, Eva Pongrácz, Mohammad Sadegh Javadi and João P. S. Catalão

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:

2.

Assessing the Impact of Industrial Demand Response on the Finnish Energy System

Number of pages: 19 Posted: 01 Jul 2024

Adeleye Samuel Adetunji, Anya Heider, Jean-Nicolas Louis, Maria Kopsakangas-Savolainen and Eva Pongrácz

University of Oulu, affiliation not provided to SSRN, VTT Technical Research Centre of Finland, University of Oulu - Department of Economics, Accounting and Finance and University of Oulu - Faculty of Technology, Energy and Environmental Engineering

Downloads 45 (1,121,190)

Abstract:

3.

Economic Feasibility of Medium-Term Energy Storage for Intermittent Power Producer

Number of pages: 26 Posted: 23 Nov 2024

Piitu Taponen, Adeleye Samuel Adetunji, Katja Koponen and Eva Pongrácz

University of Oulu, University of Oulu, affiliation not provided to SSRN and University of Oulu - Faculty of Technology, Energy and Environmental Engineering

Downloads 33 (1,277,121)

Abstract:

4.

Economic Benefits of Demand Response in the Finnish Pulp and Paper Industry

Number of pages: 23 Posted: 01 Jul 2025

Adeleye Samuel Adetunji, Anya Heider, Jean-Nicolas Louis, Maria Kopsakangas-Savolainen and Eva Pongrácz

University of Oulu, affiliation not provided to SSRN, VTT Technical Research Centre of Finland, University of Oulu - Department of Economics, Accounting and Finance and University of Oulu - Faculty of Technology, Energy and Environmental Engineering

Downloads 14 (1,509,872)

Adeleye Samuel Adetunji

University of Oulu

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184

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Scholarly Papers (4)

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

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

Abstract:

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

Abstract:

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

Abstract:

Assessing the Impact of Industrial Demand Response on the Finnish Energy System

Abstract:

Economic Feasibility of Medium-Term Energy Storage for Intermittent Power Producer

Abstract:

Economic Benefits of Demand Response in the Finnish Pulp and Paper Industry

Abstract: