Forecasting household electric appliances consumption and peak demand based on hybrid machine learning approach

Forecasting household electric appliances consumption and peak demand based on hybrid machine learning approach

Machine learning approaches have diverse applications in forecasting electrical energy consumption using smart meter data. Various classification techniques and clustering methods analyze smart meter data for accurately forecasting the electrical appliance consumption and peak demand. Electrical app...

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Bibliographic Details
Main Authors: Ejaz Ul Haq, Xue Lyu, Youwei Jia, Mengyuan Hua, Fiaz Ahmad
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:Energy Reports
Subjects:
Clustering
Demand response
Smart meter
Machine learning
Support vector machine
Forecasting
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484720314967

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http://www.sciencedirect.com/science/article/pii/S2352484720314967

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