Design of the MDFF-EPA photovoltaic ultra-short-term power prediction algorithm based on FY-4A-Reference-Cited by-同舟云学术

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Design of the MDFF-EPA photovoltaic ultra-short-term power prediction algorithm based on FY-4A

Published:2024-12 Issue: Volume:12 Page:1209-1220
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Liu Renfeng^ORCID,Min Zhuo,Wang Desheng,Song Yinbo,Yuan Chen,Liu Gai^ORCID

Publisher

Elsevier BV

Reference41 articles.

1. The ultra-short-term photovoltaic power prediction based on multi-exposure high-resolution total sky images using deep learning;Bo;Energy Rep.,2023

2. Bubble velocimetry using the conventional and CNN-based optical flow algorithms;Choi;Sci. Rep.,2022

3. Error analysis of hybrid photovoltaic power forecasting models: A case study of mediterranean climate;De Giorgi;Energy Convers. Manag.,2015

4. Short-term solar power predicting model based on multi-step CNN stacked LSTM technique;Elizabeth Michael;Energies,2022

5. Short-term solar power forecasting considering cloud coverage and ambient temperature variation effects;Gandoman;Renew. Energy,2018

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