Method, device and storage medium for generating power consumption control strategy
By training an electricity price prediction model based on multiple sub-models, future electricity price trends are predicted and electricity consumption control strategies are generated, solving the problem that existing strategies cannot be dynamically adjusted and achieving economic maximization of electricity costs.
Patent Information
- Application Number
- CN202411940306.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-26
- Publication Date
- 2026-06-26
AI Technical Summary
Existing electricity consumption strategies cannot be dynamically adjusted according to electricity price fluctuations, resulting in the inability to maximize the economic efficiency of electricity costs when electricity prices fluctuate significantly.
By acquiring historical electricity price data and electricity price factor data of electricity users, an electricity price prediction model based on multiple sub-model iterations is trained to predict future electricity price trends and generate corresponding electricity consumption control strategies.
It enables dynamic adjustment of electricity consumption strategies based on electricity price fluctuations, thereby reducing electricity costs and improving the economic efficiency of electricity consumption.
Smart Images
Figure CN122288912A_ABST