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Ahmad Fitri

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Detecting Abnormal Power Spikes in Household Appliances using IoT Data
This report analyses over 2 million minute-by-minute electricity readings from a single household in France (December 2006 – November 2010). It covers data cleaning, exploratory data analysis through five visualisations, and anomaly detection using the IQR method — identifying 94,907 high-consumption events exceeding 3.36 kW. Built with R, tidyverse, and lubridate.