Comprehensive evaluation methods for photovoltaic output anomalies based on weather classification-Reference-Cited by-同舟云学术

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Comprehensive evaluation methods for photovoltaic output anomalies based on weather classification

Published:2024-09 Issue: Volume:231 Page:120908
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Zhou Hai,Yang Fan^ORCID,Wu Ji,Hu Siyu^ORCID,Ma Wenwen,Ju Rongrong

Publisher

Elsevier BV

Reference54 articles.

1. De-Trend First, Attend Next: a Mid-Term PV forecasting system with attention mechanism and encoder–decoder structure;Niu;Appl. Energy,2024

2. Photovoltaic power prediction using artificial neural networks and numerical weather data;López Gómez;Sustainability,2020

3. Capacity optimization of a wind-photovoltaic-electrolysis-battery (WPEB) hybrid energy system for power and hydrogen generation;Li;Int. J. Hydrogen Energy,2024

4. Testing the effectiveness of deploying distributed photovoltaic power systems in residential buildings: evidence from rural China;Tong;Environ. Impact Assess. Rev.,2024

5. Forecasting power output of photovoltaic systems based on weather classification and support vector machines;Shi;IEEE Trans. Ind. Appl.,2012

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