Short-term solar irradiance forecasting in streaming with deep learning-Reference-Cited by-同舟云学术

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Short-term solar irradiance forecasting in streaming with deep learning

Published:2023-08 Issue: Volume:546 Page:126312
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Lara-Benítez Pedro,Carranza-García Manuel,Luna-Romera José María,Riquelme José C.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference45 articles.

1. Intra-hour irradiance forecasting techniques for solar power integration: A review;Chu;iScience,2021

2. Y. Wang, D. Millstein, A.D. Mills, S. Jeong, A. Ancell, The cost of day-ahead solar forecasting errors in the United States, Solar Energy 231 (2022) 846–856, ISSN 0038–092X, DOI: 10.1016/j.solener.2021.12.012.

3. Comparison of Photovoltaic plant power production prediction methods using a large measured dataset;Graditi;Renewable Energy,2016

4. A validation frame for deterministic solar irradiance forecasts;Morf;Renewable Energy,2021

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