Hui Li1, Cailin Shi2, 3, Xin Liu2, 3, Aziguli Wulamu2, 3, *, Alan Yang4
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 987-1004, 2020, DOI:10.32604/cmc.2020.09812
- 10 June 2020
Abstract The difference in electricity and power usage time leads to an unbalanced
current among the three phases in the power grid. The three-phase unbalanced is closely
related to power planning and load distribution. When the unbalance occurs, the safe
operation of the electrical equipment will be seriously jeopardized. This paper proposes a
Hierarchical Temporal Memory (HTM)-based three-phase unbalance prediction model
consisted by the encoder for binary coding, the spatial pooler for frequency pattern
learning, the temporal pooler for pattern sequence learning, and the sparse distributed
representations classifier for unbalance prediction. Following the feasibility of spatialtemporal More >
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