A gradient boosting machine-based framework for electricity energy knowledge discovery

A gradient boosting machine-based framework for electricity energy knowledge discovery

Knowledge discovery in databases (KDD) has an important effect on various fields with the development of information science. Electricity energy forecasting (EEF), a primary application of KDD, aims to explore the inner potential rule of electrical data for the purpose to serve electricity-related o...

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Bibliographic Details
Main Authors:	Bingbing Xie, Chenliang Zhu, Liang Zhao, Jun Zhang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-11-01
Series:	Frontiers in Environmental Science
Subjects:	gradient boosting machine energy prediction knowledge discovery electricity consumption framework
Online Access:	https://www.frontiersin.org/articles/10.3389/fenvs.2022.1031095/full

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