Research on multi dimensional power consumption information decoupling and separation optimization algorithm based on power supply big data and time-varying characteristics of user profiles

Yun Zhao; Junyi Chen; Jiahao Fan

doi:10.1117/12.3015680

6 February 2024 Research on multi dimensional power consumption information decoupling and separation optimization algorithm based on power supply big data and time-varying characteristics of user profiles

Yun Zhao, Junyi Chen, Jiahao Fan

Author Affiliations +

Proceedings Volume 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023); 129795N (2024) https://doi.org/10.1117/12.3015680
Event: 9th International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 2023, Guilin, China

Abstract

The multi-dimensional power consumption information decoupling and separation optimization algorithm based on power supply big data and user profile is a new algorithm applied in the power field. Through the analysis of big data in the power supply system, combined with user portraits, the power consumption habits and demand characteristics of users at different times and in different scenarios are obtained. Through the analysis and extraction of time-varying characteristics, the decoupling and separation of multi-dimensional power consumption information is realized, so as to better understand the impact of different factors on power consumption behavior. The advantage of this algorithm is that it can provide refined electricity consumption data and analysis results, thereby providing more intelligent and personalized services for power operators and users. By decoupling and separating multidimensional electricity consumption information, it is possible to gain a deeper understanding of users' electricity consumption behavior and needs, providing effective reference and support for the planning, operation, and management of power supply systems.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Yun Zhao, Junyi Chen, and Jiahao Fan "Research on multi dimensional power consumption information decoupling and separation optimization algorithm based on power supply big data and time-varying characteristics of user profiles", Proc. SPIE 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 129795N (6 February 2024); https://doi.org/10.1117/12.3015680

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KEYWORDS

Power consumption

Power supplies

Mathematical optimization

Feature extraction

Algorithm development

Covariance matrices

Data processing

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