Abstract
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.
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Acknowledgements
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.
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Liu, Q., Li, S., Liu, X., Linge, N. (2016). A Method for Electric Load Data Verification and Repair in Home Environment. In: Sun, X., Liu, A., Chao, HC., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2016. Lecture Notes in Computer Science(), vol 10040. Springer, Cham. https://doi.org/10.1007/978-3-319-48674-1_22
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DOI: https://doi.org/10.1007/978-3-319-48674-1_22
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