New Hybrid Deep Neural Architectural Search-Based Ensemble Reinforcement Learning Strategy for Wind Power Forecasting

Jalali, SMJ; Osorio, GJ; Ahmadian, S; Lotfi, M; Campos, VMA; Shafie-Khah, M; Khosravi, Abbas; Catalao, JPS

New Hybrid Deep Neural Architectural Search-Based Ensemble Reinforcement Learning Strategy for Wind Power Forecasting

https://hdl.handle.net/10536/DRO/DU:30160303
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posted on 2024-06-04, 02:23 authored by SMJ Jalali, GJ Osorio, S Ahmadian, M Lotfi, VMA Campos, M Shafie-Khah, Abbas KhosraviAbbas Khosravi, JPS Catalao

New Hybrid Deep Neural Architectural Search-Based Ensemble Reinforcement Learning Strategy for Wind Power Forecasting

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DOI - Is version of https://doi.org/10.1109/TIA.2021.3126272

Location

New York, NY

Language

English

Publication classification

C1 Refereed article in a scholarly journal

Journal

IEEE Transactions on Industry Applications

Volume

58

Pagination

15-27

ISSN

0093-9994

eISSN

1939-9367

Issue

1

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

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Keywords

Advanced evolutionary algorithm Deep neural architectural search Ensemble reinforcement learning (RL) strategy ,Hybrid model Wind power forecasting 4602 Artificial intelligence 4611 Machine learning

New Hybrid Deep Neural Architectural Search-Based Ensemble Reinforcement Learning Strategy for Wind Power Forecasting

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