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  • 标题:ESTIMATION OF POWER CONSUMPTION USING MACHINE LEARNING
  • 本地全文:下载
  • 作者:Divyadharshini M ; Sri Pavithra S ; Shanmuga Priya. R
  • 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:5
  • 页码:487-494
  • DOI:10.9756/INTJECSE/V14I5.49
  • 语种:English
  • 出版社:International Journal of Early Childhood Special Education
  • 摘要:A non-nosy checking framework assesses the conduct of individual electric apparatuses from the estimation of the absolute family unit load request bend. The all-out burden request bend is estimated at the passageway of the electrical cable into the house. The force utilization of individual apparatuses can be assessed utilizing a few AI procedures by investigating the trademark recurrence substance from the heap bend of the family unit. We have just built up the observing arrangement of ON/OFF states. This framework could build up adequate precision. In the following stage, the observing framework ought to have the option to appraise the force utilization for a climate control system with an inverter circuit.
  • 关键词:Power Estimation;Data Prediction;Machine Learning
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