An Enhanced Bootstrap Filtering Method for Non-Intrusive Load Monitoring

被引：0

作者：

Kong, Weicong ^{[1
]}

Dong, Zhaoyang ^{[1
]}

Xu, Yan ^{[1
]}

Hill, David ^{[2
]}

机构：

[1] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW, Australia

[2] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Hong Kong, Peoples R China

来源：

2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM) | 2016年

关键词：

Hidden Markov model; factorial hidden Markov model; non-intrusive load monitoring; bootstrap filter; DISAGGREGATION;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Non-intrusive load monitoring (NILM) aims to estimate the power or energy consumption for a collection of different appliances connected to a single power inlet, with only aggregated power profile being known. Such estimation is highly valuable for many potential applications in future smart grid. This paper proposes a bootstrap filtering based solver to work with smart meter data to solve the NILM problem. The weight updating process is the focus in our solver. It is shown that some slight change applied to the weight updating process can significantly enhance the computation efficiency. Evaluation of our approach is given based on results from a popular public dataset. It is also demonstrated that some common evaluation metrics are more appropriate than others. The extra merit to attacking NILM using bootstrap filtering is also illustrated.

引用

页数：5

共 18 条

[1]

[Anonymous], 2011, SMART MET INFR MIN F

[2]

[Anonymous], 2011, DATA MINING APPL SUS

[3]

Basu K., 2015, IND INFORM IEEE T, P1

[4] Non-Intrusive Signature Extraction for Major Residential Loads [J].

Dong, Ming ;

Meira, Paulo C. M. ;

Xu, Wilsun ;

Chung, C. Y. .

IEEE TRANSACTIONS ON SMART GRID, 2013, 4 (03) :1421-1430

[5] PALDi: Online Load Disaggregation via Particle Filtering [J].

Egarter, Dominik ;

Bhuvana, Venkata Pathuri ;

Elmenreich, Wilfried .

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2015, 64 (02) :467-477

[6] Using a pattern recognition approach to disaggregate the total electricity consumption in a house into the major end-uses [J].

Farinaccio, L ;

Zmeureanu, R .

ENERGY AND BUILDINGS, 1999, 30 (03) :245-259

[7] NONINTRUSIVE APPLIANCE LOAD MONITORING [J].

HART, GW .

PROCEEDINGS OF THE IEEE, 1992, 80 (12) :1870-1891

[8] An Empirical Investigation of V-I Trajectory Based Load Signatures for Non-Intrusive Load Monitoring [J].

Hassan, Taha ;

Javed, Fahad ;

Arshad, Naveed .

IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (02) :870-878

[9]

Kim H., 2011, UNSUPERVISED DISAGGR, P747

[10]

Koller D, 2009, Probabilistic graphical models: principles and techniques

← 1 2 →