Real time AI/IoT dynamics economics modeling for renewable energy generation and management
US12394980B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 12, 2024 |
| Grant date | Aug 19, 2025 |
| Priority date | — |
| Expiry date | Nov 12, 2044 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH02J2300/28
- WIPO fieldElectrical machinery, apparatus, energy
- WIPO sectorElectrical engineering
Abstract
A system for real-time economic modeling and optimization for integrated power generation and distribution. The system comprising a data collection module configured to collect real-time multi-frequency data from multiple energy sources and IoT sensors, an integration module configured to integrate the collected data with energy production cost components and market information and weather information from external data sources, an analysis module comprising a physics-based model and a machine learning model, configured to analyze the integrated data, calculate real-time Levelized Cost of Energy (LCOE) based on current operational expenditure (OPEX) and market conditions, predict profitability, and assess risk, and a recommendation module configured to generate operational adjustment recommendations for the energy production based on at least one of the LCOE and predicted profitability.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.