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Artículo Científico (Preprint)
Deep Reinforcement Learning for Global Maximum Power Point Tracking: Design and Experiments in Real Photovoltaic Systems
Deep Reinforcement Learning for Global Maximum Power Point Tracking: Design and Experiments in Real Photovoltaic Systems
Date
2023
Authors
Jorge Felipe Gaviria
María Isabella Torres
Luis Felipe Giraldo
Corinne Alonso
Michaël Bressan
Journal Title
Journal ISSN
Volume Title
Publisher
RELX Group (Netherlands)
Abstract
Description
Keywords
Photovoltaic system
,
Reinforcement learning
,
Tracking (education)
,
Power (physics)
,
Maximum power point tracking
,
Computer science
,
Point (geometry)
,
Artificial intelligence
,
Reinforcement
Citation
DOI
10.2139/ssrn.4621061
URI
https://doi.org/10.2139/ssrn.4621061
https://andeanlibrary.org/handle/123456789/84233
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Artículo Científico (Preprint)
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