Open AccessAnomaly Prediction in Electricity Consumption Using a Combination of Machine Learning Techniques
Author(s) -
Rawan Mohammed Elhadad,
Yi-Fei Tan,
Wooi-Haw Tan
Publication year - 2022
Publication title -
international journal of technology
Language(s) - English
Resource type - Journals
ISSN - 2087-2100
DOI - 10.14716/ijtech.v13i6.5931
Subject(s) - electricity , consumption (sociology) , power consumption , computer science , smart meter , sequence (biology) , anomaly detection , isolation (microbiology) , electricity meter , energy consumption , anomaly (physics) , power (physics) , artificial intelligence , data mining , machine learning , engineering , electrical engineering , social science , physics , condensed matter physics , quantum mechanics , sociology , microbiology and biotechnology , biology , genetics