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...

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Bibliographic Details

Published in:	Studia Poliana no. 22; pp. 197 - 203
Main Authors:	王茹, 宋爽, 贺佳
Format:	Article
Published:	Studia Poliana 2020
Subjects:	Energy consumption of buildings Hilbert-Huang transform Mathematical optimization Forecasting Differential evolution Shanghai (China)
Online Access:	View this record in EBSCOhost