Load determination method and apparatus, and program product
By determining the missing daily load data points in the power consumption system, and using the load data and electricity consumption of adjacent days to calculate the proportion coefficient of each load collection point, the target daily load set is finally constructed, which solves the problem of poor repair of daily load data in the existing technology, and achieves more efficient data repair.
Patent Information
- Application Number
- CN202411611687.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-12
- Publication Date
- 2025-03-28
AI Technical Summary
When the prior art accurately collects and monitors the daily load and daily electricity of users, the data is missing due to network communication failures and other reasons, and when the trend prediction method is used to fill the missing data, the repair effect is poor.
By missing at least one initial subload in response to the initial daily load concentration of the power consumption system, the acquisition date of the acquisition initial daily load set is determined, and a plurality of daily load sets of the plurality of adjacent acquisition days adjacent to the acquisition day, and a plurality of second daily power consumption of the power consumption system collects daily electricity in multiple adjacent adjacent. Based on the daily load set and the second daily electricity consumption, multiple proportion coefficients corresponding to multiple load acquisition points are determined, and based on the proportion coefficient and the first daily electricity consumption of the power consumption system in the acquisition day, multiple target subloads corresponding to multiple load acquisition points are determined, and the target daily load set is finally constructed.
Through this method, the missing daily load data can be effectively supplemented, the repair effect of daily load concentrated data can be improved, and the completeness and accuracy of the data can be ensured.