Intelligent power distribution energy-saving power supply system and method

By dynamically adjusting the power forecasting model and regional power priority coefficient, the problem of insufficient user participation was solved, and the intelligent power distribution and energy-saving power supply system was made efficient, improving user experience and power supply efficiency.

CN119482967BActive Publication Date: 2026-07-10CHANGZHOU YISTON TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHANGZHOU YISTON TECH CO LTD
Filing Date
2024-11-22
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

Existing smart power distribution and energy-saving power supply systems do not fully consider user participation, resulting in a poor user experience. Furthermore, the electricity generated by renewable energy sources is insufficient to meet user demand, leading to low power supply efficiency.

Method used

The system acquires power plant and regional data through a data acquisition module, predicts electricity consumption using a power forecasting model, calculates regional electricity priority coefficients, and adjusts the power plant status based on the predicted electricity consumption and regional electricity priority coefficients to dynamically regulate power supply and meet user needs.

Benefits of technology

It improves user experience and power supply efficiency, reduces power shortages, and enhances user satisfaction with intelligent power distribution and energy-saving power supply.

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Abstract

This application discloses an intelligent power distribution and energy-saving power supply system and method, relating to the field of power system technology. It solves the technical problems of existing technologies lacking consideration of user participation, resulting in poor user experience, and the inability of renewable energy generation to meet user demand, leading to low efficiency in intelligent power distribution and energy-saving power supply. The system obtains predicted electricity consumption for several regions through a power forecasting model; calculates regional electricity priority coefficients based on regional data; and adjusts the power station status according to the predicted electricity consumption and regional electricity priority coefficients. By taking user participation into account, it predicts whether power generation meets electricity demand and adjusts accordingly in advance, reducing the occurrence of power shortages and improving user experience and power supply efficiency.
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