NETWORK OF EXCELLENCE IN DIGITAL TECHNOLOGIES AND AI SOLUTIONS FOR ELECTROMECHANICAL AND POWER SYSTEMS APPLICATIONS

Widening ParticipationHORIZON-CSAID: 101079242
EC Contribution
€14,624
Consortium Size
6 orgs
Start Year
2022
Summary

Digitalization is the key to fighting climate change and achieving the objectives of the European Green Deal, while contributing to the green energy transition, energy efficient buildings, sustainable transportation and industrial digital transformation. Digital technologies and AI solutions can deliver operational efficiencies and reduced costs in many industries, enable the development and implementation of smart energy/transport/building systems, increase the connectivity of people and systems. Digital transition and its successful implementation requires strengthening digital skills, at different levels, “from researchers taking a more analytical and empirical approach (looking at digital skills requirements and digital skills gaps), to policymakers and providers of training programmes and skills development initiatives taking a practical approach (launching new programmes)” . In this context, the mission of DiTArtIS project is to strengthen the research and innovation excellence of the beneficiaries, especially of UTC, as well as enhance the digital skills of their staff. This will be done through building teams of excellence to derive new ideas and tackle challenges, to ensure that UTC and twinning partners will sustainably increase scientific excellence and innovation capacity in the field of electromechanical and power systems applications, by integrating digital technologies and AI solutions and techniques.

Consortium (6)

Project Results (25)

Source: CORDIS, the EU research results database.

Publications (19)
Experimental Thermal Analysis of PMSM: Effects of Current Variations on Temperature Stability
2025 5th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)· 2025DOI
Cristina Adăscăliţei, Sorin Iulian Cosman, Claudia Steluţa Marţiş
Grid Forming Converters for Low Inertia Systems<b>-</b>Capabilities and Limitations: A Critical Review
IEEE Open Journal of the Industrial Electronics Society· 2025DOI
Qusay Salem, Bayan Bany Fawaz, Rafat Aljarrah, Mazaher Karimi
Hybrid energy storage power management system harnessing battery-supercapacitor synergy for grid-isolated DC microgrid
Journal of Energy Storage· 2025DOI
Jahidul Islam Shuvo, Md. Badoruzzaman, Shaikh Tawhidul Islam Anik, Shameem Ahmad, Tofael Ahmed, Mazaher Karimi
Thermal Modeling of a PMSM Using Exponential and Logistic Curve Fitting in MATLAB
2025 International Conference on Future Energy Solutions (FES)· 2025DOI
Cristina Adăscăliței, Claudia Steluța Marțiş, Mârza Luca George Tudor, Petros Karaisas
Validation of LPTN-Based Thermal Modelling for PMSM Using Experimental Data
2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)· 2025DOI
Cristina Adăscăliței, Claudia Steluța Marțiș, Sorin Iulian Cosman
A new framework for electricity price forecasting via multi-head self-attention and CNN-based techniques in the competitive electricity market
Expert Systems with Applications· 2024DOI
Alireza Pourdaryaei, Mohammad Mohammadi, Hamza Mubarak, Abdallah Abdellatif, Mazaher Karimi, Elena Gryazina, Vladimir Terzija
Advanced Thermal Management Techniques for Electric Motors: A Comparative Analysis
2024 IEEE International Conference And Exposition On Electric And Power Engineering (EPEi)· 2024DOI
Cristina Adăscăliţei, Claudia Steluţa Marţiş, Sorin Iulian Cosman
Data-driven Optimal Scheduling of Isolated Microgrid Using Random Forest Regressor
2024 IEEE International Conference on Environment and Electrical Engineering and 2024 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)· 2024DOI
Seyed Farhad Zandrazavi, Miadreza Shafie-khah, Meysam Pashaei
Developing Two RNN-Based Algorithms for Electricity Price Forecasting in Markets with High Penetration of Renewable Energy Resources
2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)· 2024DOI
Robin Kock, Zohreh Kaheh, Miadreza Shafie-Khah
The Integration of Decarbonization and Resilience Strategies in Shaping Sustainable Cities
Lecture Notes in Computer Science, Computational Science and Its Applications – ICCSA 2024 Workshops· 2024DOI
Naghmeh Mohammadpourlima, Xiaoshu Lü, Mikael Nygård, Nebiyu Girgibo
An Investigation of the Rotor Position Influence on the Broadband Phase Impedance - Application to SFRA Diagnosis (preprint)
· 2023DOI
Ruiz-Sarrio, Jose Enrique; Antonino-Daviu, Jose Alfonso; Martis, Claudia
Data Management Plan
Dissemination, communication and exploitation plan
DiTArtIS website
Education Case on Deep Learning Based Electric Machine Automatic Fault Detection (preprint)
Ruiz-Sarrió, Jose Enrique; Antonino-Daviu, Jose Alfonso
First report on twinning and networking activities
First year training report
Rotor Cage Assessment in Soft-Started Induction Motors Applying DWT and Hilbert Transform to Transient Stray Flux Signals (preprint))
Biot-Monterde, Vicente; Navarro-Navarro, Angela; Ruiz-Sarrio, Jose Enrique; Antonino-Daviu, Jose Alfonso
Templates for marketing materials (DiTArtIS flyer, poster, brochure)
Deliverables (6)