Short-Term Probability Density Function Forecasting of Industrial Loads Based on ConvLSTM-MDN

Load forecasting for industrial customers is essential for reliable operation decisions in the electric power industry. However, most of the load forecasting literature has been focused on deterministic load forecasting (DLF) without considering information on the uncertainty of industrial load. Thi...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Yuan Y. Wang, Ting Y. Wang, Xiao Q. Chen, Xiang J. Zeng, Jing J. Huang, Xia F. Tang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2022-04-01
coleção:	Frontiers in Energy Research
Assuntos:	load forecasting probability density convolutional long short-term memory mixture density network industrial customers
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fenrg.2022.891680/full
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!