Optimal place to apply post-processing in the deterministic photovoltaic power forecasting workflow-Reference-Cited by-同舟云学术

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Optimal place to apply post-processing in the deterministic photovoltaic power forecasting workflow

Published:2024-10 Issue: Volume:371 Page:123681
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Mayer Martin János,Yang Dazhi

Funder

National Natural Science Foundation of China

China Meteorological Administration

Hungarian Academy of Sciences

Országos Meteorológiai Szolgálat

Nemzeti Kutatási, Fejlesztési és Innovaciós Alap

Nemzeti Kutatási Fejlesztési és Innovációs Hivatal

Publisher

Elsevier BV

Reference51 articles.

1. A concise overview on solar resource assessment and forecasting;Yang;Adv Atmos Sci,2022

2. Deterministic and probabilistic forecasting of photovoltaic power based on deep convolutional neural network;Wang;Energy Convers Manag,2017

3. The future of forecasting for renewable energy;Sweeney;WIREs Energy and Environ,2020

4. History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining;Yang;Sol Energy,2018

5. Solar forecasting methods for renewable energy integration;Inman;Prog Energy Combust Sci,2013

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