Abstract
In this paper, we newly propose a holographic ensemble forecasting method (HEFM). First, we use the mutual information and statistical method to select feature variables, which is an ensemble of information about the cross-border multi-source data at the dataset level. Then, we generate multiple training sets by performing diversity sampling with bootstrap, which is an ensemble of information about multiple sample sets at the sampling space...
Paper Details
Title
Holographic Ensemble Forecasting Method for Short-Term Power Load
Published Date
Aug 22, 2017
Volume
10
Issue
1
Pages
425 - 434