Energy Efficient Deep Multi-Label ON/OFF Classification of Low Frequency Metered Home Appliances

arXiv:2307.09244v2 Announce Type: replace
Abstract: Non-intrusive load monitoring (NILM) is the process of obtaining appliance-level data from a single metering point, measuring total electricity consumption of a household or a business. Appliance-level data can be directly used for demand response applications and energy management systems as well as for awareness raising and motivation for improvements in energy efficiency. Recently, classical machine learning and deep learning (DL) techniques became very popular and proved as highly effective for NILM classification, but with …

abstract appliances applications arxiv business classification consumption cs.ai cs.lg data demand electricity energy energy efficient energy management home low management measuring monitoring process systems total type