Review of deep learning techniques for power generation prediction of industrial solar photovoltaic plants-Reference-Cited by-同舟云学术

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Review of deep learning techniques for power generation prediction of industrial solar photovoltaic plants

Published:2023-12 Issue: Volume:8 Page:100061
ISSN:2772-9400
Container-title:Solar Compass
language:en
Short-container-title:Solar Compass

Author:

Chandel Shyam Singh,Gupta Ankit^ORCID,Chandel Rahul,Tajjour Salwan^ORCID

Publisher

Elsevier BV

Reference78 articles.

1. Solar Power Europe, Global Market Outlook - InterSolarEurope. 2019.

2. Progress, opportunities and challenges of achieving net-zero emissions and 100% renewables;Renné;Sol. Compass,2022

3. Solar irradiance resource and forecasting: a comprehensive review;Kumar;IET Renew. Power Gener.,2020

4. Recent developments in solar manufacturing in India;Shiradkar;Sol. Compass,2022

5. Economic evaluation of solar PV electricity prosumption in Ghana;Peprah;Sol. Compass,2023

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4. Forecasting Solar Photovoltaic Power Production: A Comprehensive Review and Innovative Data-Driven Modeling Framework;Energies;2024-08-20

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