NDLI: A simple model-driven approach to energy disaggregation

Content Provider	IEEE Xplore Digital Library
Author	Guoming Tang Kui Wu Jingsheng Lei Jiuyang Tang
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci., Univ. of Victoria, Victoria, BC, Canada (Guoming Tang; Kui Wu) \|\| Sch. of Comput. & Inf. Eng., Shanghai Univ. of Electr. Power, Shanghai, China (Jingsheng Lei) \|\| Sci. & Tech. on Inf. Syst. Eng. Lab., Nat. Univ. of Defense Technol., Changsha, China (Jiuyang Tang)
Abstract	Energy disaggregation is to discover the energy consumption of individual appliances from their aggregated energy values. To solve the problem, most existing approaches rely on either appliances' signatures or their state transition patterns, both hard to obtain in practice. Aiming at developing a simple, universal model that works without depending on sophisticated machine learning techniques or auxiliary equipments, we make use of easily accessible knowledge of appliances and the sparsity of the switching events to design a Sparse Switching Event Recovering (SSER) method. By minimizing the total variation (TV) of the (sparse) event matrix, SSER can effectively recover the individual energy consumption values from the aggregated ones. To speed up the process, a Parallel Local Optimization Algorithm (PLOA) is proposed to solve the problem in active epochs of appliance activities in parallel. Using real-world trace data, we compare the performance of our method with that of the state-of-the-art solutions, including the popular Least Square Estimation (LSE) methods and a recently-developed machine learning method using iterative Hidden Markov Model (HMM). The results show that our approach has an overall better performance in both detection accuracy and overhead.
Starting Page	566
Ending Page	571
File Size	342595
Page Count	6
File Format	PDF
ISBN	9781479949342
DOI	10.1109/SmartGridComm.2014.7007707
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-03
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Home appliances Energy consumption Accuracy Hidden Markov models Switches Vectors Monitoring
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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