Improved Neural Networks with Random Weights for Short-Term Load Forecasting

An effective forecasting model for short-term load plays a significant role in promoting the management efficiency of an electric power system. This paper proposes a new forecasting model based on the improved neural networks with random weights (INNRW). The key is to introduce a weighting technique...

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Detalles Bibliográficos
Autores principales: Lang, Kun, Zhang, Mingyuan, Yuan, Yongbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4667993/
https://www.ncbi.nlm.nih.gov/pubmed/26629825
http://dx.doi.org/10.1371/journal.pone.0143175

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4667993/
https://www.ncbi.nlm.nih.gov/pubmed/26629825
http://dx.doi.org/10.1371/journal.pone.0143175

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