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What is Anomaly Detection in Kitchen Appliances about?
This paper discusses the use of the Isolation Forest algorithm for detecting anomalies in domestic appliance energy consumption, focusing on three major appliances: dishwasher, home heating, and air conditioning. The study demonstrates that the algorithm effectively identifies unusual consumption patterns, which can indicate energy losses or malfunctioning appliances. The findings support the enhancement of smart energy monitoring systems through predictive maintenance and energy optimization applications.
- Author
- International Journal of Innovative Science and Research Technology
- Language
- EN