Electrica announces the completion of the AIAE (Artificial Intelligence for Active Energy Management) project, developed in partnership with the Romanian startup Renergia and the Technical University of Cluj-Napoca. It marks the launch of the first intelligent energy management system for buildings in Romania and introduces a new energy consumption management model focused on data, automation and advanced analysis.

The platform processed over 48 million data sets, and its development involved over 1,000,000 lines of code, which denotes the complexity and maturity level of the solution. At the same time, the initiative also included a research and professional training component, involving 3 PhD students and 4 researchers under 30 years of age, thus contributing to the development of a new generation of specialists in the field of energy and artificial intelligence.

“Digitalization is not a parallel activity. It is critical infrastructure for the energy system. Through AIAE, we have gone from concept to implementation and demonstrated that artificial intelligence can deliver concrete results in building operations. We are talking about the ability to understand consumption in detail and intervene where optimization is needed. Which translates into control, predictability and operational performance. The next step is to extend the solution to the entire Electrica Group”, said Alexandru Chiriță, CEO of Electrica.

The AIAE platform functions as a virtual energy manager, capable of analyzing energy consumption in real time and transforming large volumes of data into operational decisions. The system identifies consumption patterns, detects deviations and generates automatic recommendations for optimizing energy performance.

The solution is built on a multi-agent AI architecture and integrates data from multiple sources: electricity consumption, meteorological information, technical characteristics of the building and operational context. This approach allows for a complete understanding of energy behavior and supports rapid and efficient interventions.

A key element of the solution is the ability to “break down” the total energy consumption and understand how each system in the building contributes, without the need to monitor each piece of equipment individually. The platform uses artificial intelligence models to identify consumption patterns and show where and how energy efficiency can be improved.

As a result of the project, concrete energy efficiency measures have already been adopted, such as automating operating modes for certain systems and introducing policies to turn off non-essential equipment outside of working hours. These measures demonstrate the system’s ability to generate actionable results, with a direct impact on reducing consumption and increasing operational efficiency.

“From the beginning, we aimed for this project to go beyond the research area and reach operation. We managed to integrate advanced models and numerical methods into a platform that works in real time, in a complex environment. Artificial intelligence offers, in this context, precise tools for understanding energy behavior and optimizing consumption, based on data-based decisions. It is an example of collaboration in which research produces applicable results, with direct impact,” said Assoc. Prof. Dr. Eng. Dorin Beu from the Technical University of Cluj-Napoca.

“For Renergia, the AIAE project meant the validation, on a real scale, of technologies developed in the area of ​​research and innovation. We integrated disaggregation algorithms and predictive models into a system capable of operating autonomously and delivering concrete recommendations. The results obtained confirm that data-based solutions can change the way buildings are managed, through better control of consumption and a more efficient use of energy resources,” added the coordinators of the Cluj startup, Dr. Eng. Alexandru Mureșan and Dr. Eng. Dacian Jurj.

The first integration of the system was carried out at the headquarters of Electrica, where it was tested and validated under real operating conditions. The results obtained confirm the platform’s capacity to generate optimizations and support more efficient control of energy consumption. Based on these results, the company is considering replicating the solution at the level of the Group’s buildings, as part of its digitalization and operational efficiency strategy.

The AIAE project has also been extended to the National Technical Museum “Prof. ing. Dimitrie Leonida”, which thus becomes the second building in Romania to benefit from this technology. The integration of the solution is part of the museum’s modernization process and contributes to optimizing energy consumption in its operation.

Renergia is a technological startup affiliated with the Technical University of Cluj-Napoca, specialized in developing solutions for energy analysis and consumption optimization, using statistical models, probabilistic methods and artificial intelligence.