Method and apparatus for predicting energy service provision and software program product
By establishing a power predictor to superimpose and adjust the weights of energy services, the problem of energy demand prediction and optimization for industrial enterprises in a variable power environment is solved, and precise energy supply management and improved production stability are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SIEMENS AG
- Filing Date
- 2020-07-23
- Publication Date
- 2026-07-03
AI Technical Summary
Existing technologies struggle to effectively predict and optimize the energy demands of industrial enterprises, leading to production disruptions and uncertainty in economic incentives. This is especially true in volatile power supply environments, where existing methods rely on consumer energy consumption forecasts and lack the ability to dynamically adjust.
By establishing a power predictor, the superposition principle is used to model and superimpose various conditions affecting the provision of energy services. Combined with weights and correction functions, the prediction parameters are optimized to achieve automated prediction and dynamic adjustment of available energy services.
It enables accurate prediction and optimization of energy demand for industrial enterprises in a variable power environment, reduces the risk of production interruption, and improves the flexibility and economic efficiency of energy supply.
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Abstract
Citation Information
Patent Citations
US8670874B2
US9633401B2
EP3561983A1