Citation

ELhadad, Rawan and Tan, Yi Fei and Tan, Wooi Nee (2022) Anomaly Prediction in Electricity Consumption. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

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Abstract

The demand on the electricity supply is rising up day by day in proportion to the power usage and growth of population. Hence, this developed the interest for researchers and relevant authorities to build a framework that can predict abnormal power consumption beforehand. This research aims to build anomaly prediction model in electricity consumption using machine learning techniques.

Item Type:	Conference or Workshop Item (Poster)
Uncontrolled Keywords:	Electricity
Subjects:	Q Science > QC Physics > QC501-766 Electricity and magnetism > QC501-(721) Electricity
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	28 Dec 2022 02:10
Last Modified:	28 Dec 2022 02:10
URII:	http://shdl.mmu.edu.my/id/eprint/11024

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