TY - EJOU
AU - Dang, Qian
AU - Zhang, Huafeng
AU - Zhao, Bo
AU - He, Yanwen
AU - He, Shiming
AU - Kim, Hye-Jin
TI - Electrical Data Matrix Decomposition in Smart Grid
T2 - Journal on Internet of Things
PY - 2019
VL - 1
IS - 1
SN - 2579-0080
AB - As the development of smart grid and energy internet, this leads to a significant increase in the amount of data transmitted in real time. Due to the mismatch with communication networks that were not designed to carry high-speed and real time data, data losses and data quality degradation may happen constantly. For this problem, according to the strong spatial and temporal correlation of electricity data which is generated by humanâ€™s actions and feelings, we build a low-rank electricity data matrix where the row is time and the column is user. Inspired by matrix decomposition, we divide the low-rank electricity data matrix into the multiply of two small matrices and use the known data to approximate the low-rank electricity data matrix and recover the missed electrical data. Based on the real electricity data, we analyze the low-rankness of the electricity data matrix and perform the Matrix Decomposition-based method on the real data. The experimental results verify the efficiency and efficiency of the proposed scheme.
KW - Electrical data recovery
KW - matrix decomposition
KW - low-rankness
KW - smart grid
DO - 10.32604/jiot.2019.05804