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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Optimization of a photovoltaic-battery system using deep reinforcement learning and load forecasting

Participants in the publication
António Corte Real (Author)
G. Pontes Luz (Author)
IDL
J.M.C. Sousa (Author)
M.C. Brito (Author)
Dep. Engenharia Geográfica, Geofísica e Energia
IDL
S.M. Vieira (Author)

Date of Publication
2024-05

Where published
Energy and AI

Publication Identifiers
ISSN - 2666-5468

Publisher
Elsevier BV

Volume
16

Starting page
100347

Document Identifiers
DOI - https://doi.org/10.1016/j.egyai.2024.100347
URL - https://doi.org/10.1016/j.egyai.2024.100347

Rankings
Web Of Science Q1 (2023) - 9.6 - ENERGY & FUELS
SCIMAGO Q1 (2023) - 2.16 - Energy (miscellaneous)
SCOPUS Q1 (2023) - 16.5 - Energy (all)


Export

APA
António Corte Real, G. Pontes Luz, J.M.C. Sousa, M.C. Brito, S.M. Vieira, (2024). Optimization of a photovoltaic-battery system using deep reinforcement learning and load forecasting. Energy and AI, 16, ISSN 2666-5468. eISSN . https://doi.org/10.1016/j.egyai.2024.100347

IEEE
António Corte Real, G. Pontes Luz, J.M.C. Sousa, M.C. Brito, S.M. Vieira, "Optimization of a photovoltaic-battery system using deep reinforcement learning and load forecasting" in Energy and AI, vol. 16, 2024. 10.1016/j.egyai.2024.100347

BIBTEX
@article{64597, author = {António Corte Real and G. Pontes Luz and J.M.C. Sousa and M.C. Brito and S.M. Vieira}, title = {Optimization of a photovoltaic-battery system using deep reinforcement learning and load forecasting}, journal = {Energy and AI}, year = 2024, volume = 16 }