System and Procedure for Integrated Energy Management (WO 2024/194517 A1)

This record corresponds to the international patent WO 2024/194517 A1, titled System and Procedure for Integrated Energy Management. The invention defines a comprehensive energy-management system that collects and processes both structured and unstructured data from multiple sources — smart meters, monitoring devices, sensors, and energy bills — to optimize generation, consumption, and storage. The architecture integrates several functional subsystems: A data-capture and storage layer (cloud-based data lake). An artificial-intelligence module for analysis and prediction of energy behaviour using machine-learning and natural-language-processing techniques. An interaction layer with agents for recommendation, monitoring, and language processing. A frontend interface (web, mobile or IoT) that enables real-time visualization and control of energy data. A control signal subsystem capable of automatically activating or deactivating devices, PLCs and lighting or generation systems (renewable or not) according to the optimization strategy. The system implements AI techniques to create, evaluate and deploy models for forecasting consumption and production, thus enabling personalized recommendations and self-adaptive energy management. Related works: Díaz González, A. (2025). Towards a Deterministic Vertical AGI for Energy Systems. Zenodo DOI 10.5281/zenodo.17178976

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-26
DOI
https://doi.org/10.5281/zenodo.17312428
Primary Topic
Malaria Research and Control
Type
article
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article

System and Procedure for Integrated Energy Management (WO 2024/194517 A1)

Zenodo (CERN European Organization for Nuclear Research)
Malaria Research and Control
article

System and Procedure for Integrated Energy Management (WO 2024/194517 A1)

article en

Abstract

This record corresponds to the international patent WO 2024/194517 A1, titled System and Procedure for Integrated Energy Management. The invention defines a comprehensive energy-management system that collects and processes both structured and unstructured data from multiple sources — smart meters, monitoring devices, sensors, and energy bills — to optimize generation, consumption, and storage. The architecture integrates several functional subsystems: A data-capture and storage layer (cloud-based data lake). An artificial-intelligence module for analysis and prediction of energy behaviour using machine-learning and natural-language-processing techniques. An interaction layer with agents for recommendation, monitoring, and language processing. A frontend interface (web, mobile or IoT) that enables real-time visualization and control of energy data. A control signal subsystem capable of automatically activating or deactivating devices, PLCs and lighting or generation systems (renewable or not) according to the optimization strategy. The system implements AI techniques to create, evaluate and deploy models for forecasting consumption and production, thus enabling personalized recommendations and self-adaptive energy management. Related works: Díaz González, A. (2025). Towards a Deterministic Vertical AGI for Energy Systems. Zenodo DOI 10.5281/zenodo.17178976

Zenodo (CERN European Organization for Nuclear Research)
Green Technology (US)
Affordable and clean energy
Openalex Percentile: Top 38%
Malaria Research and Control
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