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- W3208320926 abstract "Establishing data-driven electricity consumption behavior analysis method can be helpful for grasping the behavior law of user’s electricity consumption and improve the service quality of power grid side management. This paper summarizes the data-driven analysis model of electricity consumption behavior. Firstly, a typical data-driven research framework is proposed, with which the key technologies of power consumption information acquisition, user classification and correlation factor identification are introduced in detail. Then the edge computing and the two typical analysis structures, i.e. the offline analysis based on batch processing and the real-time analysis based on stream processing, are discussed in depth. Next, several typical integrated application scenarios of electricity use behavior analysis are studied, such as the load forecasting, the demand response modeling and the detection of abnormal electricity use behavior. Finally, the future prospects and challenges in further research are clarified." @default.
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- W3208320926 date "2020-01-01" @default.
- W3208320926 modified "2023-09-23" @default.
- W3208320926 title "An Overview of Data-driven Electricity Consumption Behavior Analysis Method and Application" @default.
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