Research on Impulse Power Load Forecasting Based on Improved Recurrent Neural Networks

Deep learning is good at extracting the required feature quantity from the massive input information through multiple hidden layers and completing the learning through training to achieve the task of load forecasting. The impulse power load data contain a lot of noise, burrs, and strong randomness....

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Detalles Bibliográficos
Autores principales: Feng, Chenyang, Xu, Kang, Ma, Haoyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9056239/
https://www.ncbi.nlm.nih.gov/pubmed/35502351
http://dx.doi.org/10.1155/2022/2784563

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9056239/
https://www.ncbi.nlm.nih.gov/pubmed/35502351
http://dx.doi.org/10.1155/2022/2784563

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