Abstract
Nonintrusive appliance load monitoring (NIALM) allows disaggregation of total electricity consumption into particular appliances in domestic or industrial environments. NIALM systems operation is based on processing of electrical signals acquired at one point of a monitored area. The main objective of this paper was to present the state-of-the-art in NIALM technologies for the smart home. This paper focuses on sensors and measurement methods. Different intelligent algorithms for processing signals have been presented. Identification accuracy for an actual set of appliances has been compared. This article depicts the architecture of a unique NIALM laboratory, presented in detail. Results of developed NIALM methods exploiting different measurement data are discussed and compared to known methods. New directions of NIALM research are proposed.
Highlights
IntroductionA major problem of power systems in recent years has been the constant increase in demand for electricity
Introduction to Appliance Load Monitoring SystemsA major problem of power systems in recent years has been the constant increase in demand for electricity
We briefly present the results of some experiments
Summary
A major problem of power systems in recent years has been the constant increase in demand for electricity. In view of this problem, saving energy and reducing its consumption are promoted. The users of electricity have no opportunity for conscious control of energy consumption, because their possibilities are mostly limited to analysis of accounts after settlement periods lasting usually a few months. In both the domestic and industrial environment, dozens of appliances with different power consumptions are switched on and off several times a day. It is hard to form habits of saving energy consciously and effectively, which is one of the most important aims of smart homes
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