文章基本信息

标题：ELECTRICITY CONSUMPTION FORECASTING FOR HOUSEHOLDS IN URBAN AREAS
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作者：Mohammad Osama (A.Z) Younes ; Raja Rajeswari Ponnusamy
期刊名称：International Journal of Early Childhood Special Education
电子版ISSN：1308-5581
出版年度：2022
卷号：14
期号：3
页码：7717-7725
DOI：10.9756/INT-JECSE/V14I3.921
语种：English
出版社：International Journal of Early Childhood Special Education
摘要：Electrical energy weight predicting remains a significant very hot subject matter in the market because the last 10 years, since it aids electrical businesses inside forecasting force in addition with regard to commercial plus families. Predicting fill with regard to usage is a top00 technique which is not just ideal for the however the clients too. It is because the moment weight will be expected, steps could be sent to avoid weighty use of electrical power in addition to consumers may be informed related to safety measure to ensure that their own expenses stay constant and even lower. There exists a large number associated with study regarding building strong versions within forecasting electric powered insert, experts possess centered on methods like occasions selection, regression along with other standard record strategies. Heavy studying is the subject within the domain name of information technologies together with stats recently, it has been confirmed to become very helpful both in regression plus category work. Heavy studying could be used to create better quality variations intended for guessing electrical download, this particular study examines heavy studying designs to get electric powered load up predicting with regard to homes inside towns in addition to recommend the most effective design with this problem. The research uses Underlying imply sq .error being an assessment metric pertaining to identifying the most beneficial type.
关键词：Electrical energy weight predicting remains a significant very hot subject matter in the market because the last 10 years