A method for electric load data verification and repair in home environment

Liu, Qi; Li, Shengjun; Liu, Xiaodong; Linge, Nigel

Abstract

Home energy management (HEM) and smart home have been popular among people; HEM collects and analyses the electric load data to make the power use safe, reliable, economical, efficient and environmentally friendly. Without the correct data, the correct decisions and plans would not be made, so the data quality is of the great importance. This paper focuses on the verification and repair of the electric load data in family environment. Due to the irregularity of modern people's life styles, this paper proposes a system of 'N + 1' framework to handle this properly. The system collects information of every appliance and the power bus to make them verify each other, so it can solve the stochastic uncertainty problem and verify if the data is correct or not to ensure the data quality. In the course of data upload, there are many factors like smart meter malfunctions, communication failures and so on which will cause some wrong data. To repair the wrong data, we proposes a method called LBboosting, which integrates two curve fitting methods. As the results show, the method has a better performance than up-to date methods.

Citation

Liu, Q., Li, S., Liu, X., & Linge, N. (2018). A method for electric load data verification and repair in home environment. International Journal of Embedded Systems, 10(3), 248-256. https://doi.org/10.1504/ijes.2018.091788

• Journal Article Type: Article
• Acceptance Date: Jan 20, 2017
• Publication Date: May 8, 2018
• Deposit Date: Dec 18, 2018
• Publicly Available Date: Jan 10, 2019
• Journal: International Journal of Embedded Systems
• Print ISSN: 2356-5942
• Electronic ISSN: 1741-1076
• Publisher: N&N Global Technology
• Peer Reviewed: Peer Reviewed
• Volume: 10
• Issue: 3
• Pages: 248-256
• DOI: https://doi.org/10.1504/ijes.2018.091788
• Keywords: data verify; data repair; load data quality; power system; home energy management; HEM
• Public URL: http://researchrepository.napier.ac.uk/Output/1447619
• Publisher URL: https://www.inderscienceonline.com/doi/abs/10.1504/IJES.2018.091788