Multi-temporal dimension prediction of new energy electricity demand based on chaos-LSSVM neural network

Na minha lista:

Detalhes bibliográficos
Publicado no:	Scientific Reports (Nature Publisher Group) vol. 15, no. 1 (2025), p. 44092-44111
Autor principal:	Wu, Yidi
Outros Autores:	Wang, Wei, Ma, Xiaotian, Zhao, Rifeng, Wu, Binbin, Chen, Ping, An, Qi
Publicado em:	Nature Publishing Group
Assuntos:	Accuracy Chaos theory Forecasting Trends Discriminant analysis Decomposition Production planning Long short-term memory Time series Electricity Energy consumption Distributed processing Big Data Energy Edge computing Predictions Neural networks Renewable resources Support vector machines Algorithms Economic
Acesso em linha:	Citation/Abstract Full Text Full Text - PDF
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!

Seja o primeiro a partilhar um comentário!