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A Method for Electric Load Data Verfication and Repair in home Environment

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


Qi Liu

Shengjun Li

Nigel Linge


X Sun

A Liu

H C Chao

E Bertino


Most people do not have a consciousness of energy saving. For this phenomenon, the governments are building smart grids to take measures for the energy crisis. Electric load data records the electric consumption and plays an important role in operation and planning of the power system. However, in home, electric load data usually has the abnormal, noisy and missing data due to various factors. With wrong data, we can not analysis the data correctly, then can not take the right actions to avoid the energy wastes. In this paper, we propose a new solution for the electric load data verification and repair in home environment. As the result shows, proposed method have a better performance than the up to date methods.

Presentation Conference Type Conference Paper (Published)
Conference Name the 2nd International Conference on Cloud Computing and Security
Start Date Jul 29, 2016
End Date Jul 31, 2016
Acceptance Date May 1, 2016
Online Publication Date Nov 1, 2016
Publication Date Aug 31, 2016
Deposit Date Jan 30, 2017
Electronic ISSN 1611-3349
Publisher BMC
Pages 244-253
Series Title Lecture Notes in Computer Science
Series ISSN 0302-9743
Book Title Cloud Computing and Security. ICCCS 2016
ISBN 9783319486734; 9783319486741
Keywords Data repair, Power data quality, Power system, Home energy management
Public URL
Additional Information This work is supported by the NSFC (61300238, 61300237, 61232016, 1405254, 61373133), Marie Curie Fellowship (701697-CAR-MSCA-IFEF-ST), Basic Research Programs (Natural Science Foundation) of Jiangsu Province (BK20131004) and the PAPD fund