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- W4319431326 abstract "Firstly, the influence of user behavior on the distribution network at different time scales is analyzed, and the multi-temporal and spatial variation law and probability estimation method of user habit volatility are used to establish a distribution network loss model based on seasonal changes. Then, according to the influence of power quality problem on distribution network loss, the calculation methods of three-phase unbalance, voltage deviation and harmonic parameters of distribution network are studied, and a distribution network loss model considering power quality is established. Finally, according to the time series and nonlinear characteristics of power quality data in a long time span, a power quality prediction method for distribution network based on clustering and long short-term memory network is proposed. Algorithms are used to predict distribution network losses and quantify the impact of electricity consumption habits on distribution network losses." @default.
- W4319431326 created "2023-02-09" @default.
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- W4319431326 date "2022-12-01" @default.
- W4319431326 modified "2023-09-23" @default.
- W4319431326 title "A Prediction Method Based on the Influence of Electricity Consumption Habits on Distribution Network Losses" @default.
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- W4319431326 doi "https://doi.org/10.1109/ceect55960.2022.10030550" @default.
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