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- W2017376959 abstract "Traditional load classification of power distribution transformer can not reflect to the characteristics of power utilization according the fact, consideration on the characteristics of time-varying can make related work be fair. Using k-mean clustering algorithm, we classify the load of actual power distribution transformer customers according to similarity of trend in a period of time, and put forward a method of dynamic load classification based on sliding window model and DFT synopsis data structure in data stream management techniques. Experiment results show that this method is effective. (6 pages)" @default.
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- W2017376959 date "2006-01-01" @default.
- W2017376959 modified "2023-10-18" @default.
- W2017376959 title "Study on load classification of power distribution transformer based on data stream management" @default.
- W2017376959 doi "https://doi.org/10.1049/cp:20061647" @default.
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