Short-term Prediction of Wind and Photovoltaic Power Based on the Fusion of Attention Mechanism and Improved Whale Optimization Algorithm

With the aim of enhancing the accuracy of predictions and stability of wind and solar power generation prediction models in different scenarios, a deep learning hybrid prediction model integrating the attention mechanism and the improved whale optimization algorithm is proposed. Firstly, Pearson cor...

Celý popis

Podrobná bibliografie

Vydáno v:	Journal of physics. Conference series Ročník 3135; číslo 1; s. 12021 - 12026
Hlavní autoři:	Zou, Jin, Ye, Jiaqing, Xue, Zhiliang, Zhang, Li, Wu, Feiyun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Bristol IOP Publishing 01.11.2025
Témata:	Accuracy Algorithms Correlation analysis Improve the whale optimization algorithm Long short-term memory Attention mechanism Luminous intensity Optimization Optimization algorithms Pearson correlation Photovoltaic and wind power short-term forecasting Prediction models Solar energy Solar power generation Wind speed
ISSN:	1742-6588, 1742-6596, 1742-6596
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!