Deep reinforcement learning approach for MPPT control of partially shaded PV systems in Smart Grids-Reference-Cited by-同舟云学术

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Deep reinforcement learning approach for MPPT control of partially shaded PV systems in Smart Grids

Published:2020-12 Issue: Volume:97 Page:106711
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Avila Luis^ORCID,De Paula Mariano^ORCID,Trimboli Maximiliano,Carlucho Ignacio^ORCID

Publisher

Elsevier BV

Subject

Software

Reference51 articles.

1. Optimization strategies for microgrid energy management systems by genetic algorithms;Leonori;Appl. Soft Comput. J.,2020

2. State of the art in big data applications in microgrid: A review;Moharm;Adv. Eng. Informatics.,2019

3. Role of renewable energy sources in environmental protection: A review;Panwar;Renew. Sustain. Energy Rev.,2011

4. Comparative and comprehensive review of maximum power point tracking methods for PV cells;Danandeh;Renew. Sustain. Energy Rev.,2018

5. Performance evaluation of maximum power point tracking approaches and photovoltaic systems;Islam;Energies,2018

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