Kalman filtering for energy disaggregation. Issue 5 (2018)

• Record Type: Journal Article
• Authors: Breschi, V.; Piga, D.; Bemporad, A.
• Is Part Of: IFAC-PapersOnLine. Volume 51:Issue 5(2018)
• Page Start: 108
• Page End: 113
• Publication Date: 2018
• Subjects: Energy disaggregation -- Kalman filter -- Markov jump models -- recursive estimate; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2018.06.219
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: Providing the users information on the energy consumed in the household at the appliance level is of major importance for increasing their awareness of their consumption behavior. In this paper, we propose a technique based on Kalman filters to estimate the devices' consumption patterns from aggregate readings, i.e., to solve the so called disaggregation problem. The method is suited for on-line disaggregation and the proposed results show that it is robust against modelling errors and unmodelled appliances.