Juan Gabriel Pieschacon Vargas
Semi-supervised Event Pairing Method for Non-Intrusive Load Monitoring.
Rel. Michela Meo. Politecnico di Torino, Master of science program in Ict For Smart Societies, 2021
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Abstract
The increasing deployment of energy management systems (EMS) is assisting end-users to become more aware of their energy consumption, intending to mitigate energy waste. In this context, non-intrusive load monitoring (NILM) has emerged as a promising energy management technique to conserve energy. This method aims at distinguishing the individual load consumption from the aggregate power signal measured at a single point. The majority of NILM methods have been applied to residential settings. Low data availability in the industrial domain makes it difficult to study solutions to disaggregate appliances in this kind of environment. ?? In this work, the household and industrial fields are analyzed and compared.
A semi-supervised event pairing method was applied to both scenarios
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