Evaluation and improvement of energy consumption prediction models using principal component analysis based feature reduction

标题
Evaluation and improvement of energy consumption prediction models using principal component analysis based feature reduction
作者
关键词
Energy consumption prediction, Data analytics, Principal component analysis, Regression tree, K-nearest neighbors, Support vector regression, Random forest, Linear regression
出版物
JOURNAL OF CLEANER PRODUCTION
Volume 279, Issue -, Pages 123866
出版商
Elsevier BV
发表日期
2020-08-23
DOI
10.1016/j.jclepro.2020.123866

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