A Review on Machine Learning and Data Mining Techniques for Residential Energy Smart Management

Hajer Salem, M. S. Mouchaweh, A. Hassine
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引用次数: 10

Abstract

In this paper, the different machine learning and data mining approaches used for Residential Energy Smart Management (RESM) will be discussed and classified according to some meaningful criteria. The proposed classification is an attempt to highlight the advantages and limitations of each category. Moreover, we emphasize the complementarity between approaches belonging to different categories and we point out the main challenges that still face RESM.
住宅能源智能管理中的机器学习和数据挖掘技术综述
本文将讨论用于住宅能源智能管理(RESM)的不同机器学习和数据挖掘方法,并根据一些有意义的标准进行分类。提出的分类是为了突出每个类别的优点和局限性。此外,我们强调属于不同类别的方法之间的互补性,并指出RESM仍然面临的主要挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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