Towards Identifying Alien Appliances using Semantic Information

Abstract

Currently, the applicability of recognition approaches is limited to only native (known) appliances for which training data is available. It means the appliance with no training instances appears as an alien to the approaches. An alien (new) appliance may introduce as household any time by the electricity consumer. The central focus on this paper is on building an appliance recognition approach that can accurately identify both native and alien appliances by leveraging semantic information. This work also collects electricity usage data by deploying smart meters in an apartment complex, for experimental evaluation. The initial accuracy results are satisfactory and validating the effectiveness of our approach for alien appliances.

Meeting Name

7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2020

Department(s)

Computer Science

Research Center/Lab(s)

Center for High Performance Computing Research

Comments

Science and Engineering Research Board, Grant ECR/2016/000406

Keywords and Phrases

Alien appliance; electricity usage; time series

International Standard Book Number (ISBN)

978-145038061-4

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2020, All rights reserved.

Publication Date

18 Nov 2020

Link to Full Text

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