改进鲸鱼算法构建混合模型的建筑能耗预测.

Building energy consumption data has non-stationary and nonlinear characteristics. A single prediction model is difficult to predict accurately, and a new hybrid model for short-term prediction of building energy consumption is proposed. Complementary ensemble empirical mode decomposition (CEEMD) is...

Descripción completa

Detalles Bibliográficos

Publicado en:	Studia Poliana no. 22; pp. 197 - 203
Autores principales:	王茹, 宋爽, 贺佳
Formato:	Artículo
Publicado:	Studia Poliana 2020
Materias:	Energy consumption of buildings Hilbert-Huang transform Mathematical optimization Forecasting Differential evolution Shanghai (China)
Acceso en línea:	Ver este registro en EBSCOhost