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Exploiting Appliance State Constraints to Improve Appliance State Detection

Khandelwal, Tarun and Rajwanshi, Karan and Bharadwaj, Priti and Garani, Shayan Srinivasa and Sundaresan, Rajesh (2017) Exploiting Appliance State Constraints to Improve Appliance State Detection. In: 8th ACM International Conference on Future Energy Systems, e-Energy 2017, 16 - 19 May 2017, Shatin, pp. 111-120.

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Official URL: https://doi.org/10.1145/3077839.3077859


This work deals with non-intrusive load monitoring using a single inexpensive device at the mains. We argue that very low sampling rates (of 1 Hz) may suffice. This enables significant compression and cheaper end-devices. There are challenges when operating at such low sampling rates, of course. To achieve good appliance inference performance we propose improved event detection, feature extraction, and inference algorithms. The inference algorithm exploits state transition constraints and proposes the use of a maximum likelihood sequence detection for improved performance.

Item Type: Conference Paper
Publisher: Association for Computing Machinery, Inc
Additional Information: The copyright for this article belongs to the Association for Computing Machinery, Inc.
Keywords: Energy disaggregation; HMM; K-means clustering; NILM
Department/Centre: Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 14 Jun 2022 06:09
Last Modified: 14 Jun 2022 06:09
URI: https://eprints.iisc.ac.in/id/eprint/73475

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