Summary
- Profile Type
- Technology offer
- POD Reference
- TOES20250318020
- Term of Validity
- 18 March 2025 - 18 March 2026
- Company's Country
- Spain
- Type of partnership
- Commercial agreement with technical assistance
- Targeted Countries
- All countries
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General information
- Short Summary
- A Spanish research group has developed a novel method for estimating the operating regime of an electrically powered system using its electrical consumption signature. AI models are used to analyse voltage, current, and phase shift data, improving system state identification without relying on power measurements. The technology enables more efficient monitoring and predictive maintenance in industrial and energy management applications. A licensee is sought to develop and market the invention.
- Full Description
-
The identification of operating states in electrically powered systems traditionally relies on power consumption analysis. However, conventional methods, such as Non-Intrusive Load Monitoring (NILM), often face challenges in distinguishing overlapping loads and require extensive labelled datasets. Existing solutions also struggle to provide real-time, high-accuracy state detection in complex industrial environments.
Researchers from two Spanish universities have solved these inconveniences by developing a method for estimating the operating regime of a system based on its electrical consumption signature. Unlike traditional approaches, this method leverages artificial intelligence models that analyse voltage, current, and phase shift data across multiple dimensions. This enables accurate state identification without relying on direct power measurements, leading to enhanced monitoring and predictive maintenance capabilities.
The present invention is applicable in those industries where accurate system state monitoring is crucial, such as manufacturing, energy management, and predictive maintenance. It can be integrated into industrial plants, smart grids, and automated systems to optimize operational efficiency and reduce unexpected downtimes.
The IPR owners would like to reach license agreements with companies operating in such fields, so they can develop applications of the technology. - Advantages and Innovations
-
• Eliminates the need for direct power measurements, enhancing flexibility and applicability.
• Utilizes artificial intelligence for precise system state identification in real-time.
• Enables predictive maintenance and anomaly detection, reducing operational costs.
• Applicable to various industrial settings, improving equipment efficiency and reliability.
• Offers a scalable solution that can be integrated into existing monitoring infrastructures. - Stage of Development
- Available for demonstration
- Sustainable Development Goals
- Goal 9: Industry, Innovation and Infrastructure
- Goal 7: Affordable and Clean Energy
- IPR status
- IPR applied but not yet granted
- IPR notes
- Spanish Patent applied.
Partner Sought
- Expected Role of a Partner
- Licensee of the technology to develop and market the invention.
- Type and Size of Partner
- Big company
- SME <=10
- SME 11-49
- SME 50 - 249
- Type of partnership
- Commercial agreement with technical assistance
Dissemination
- Technology keywords
- 01003003 - Artificial Intelligence (AI)
- 004006001 - Energy management
- 02003001 - Process automation
- 09001009 - Sensor Technology related to measurements
- 01003010 - Databases, Database Management, Data Mining
- Market keywords
- 08002003 - Process control equipment and systems
- 08002001 - Energy management
- 09003001 - Engineering services
- 06006002 - Metering and monitoring
- 09008001 - Electric companies
- Sector Groups Involved
- Renewable Energy
- Targeted countries
- All countries