ServiceUpdated on 11 February 2026
AI modelling for energy systems and grid optimisation
About
I offer expertise in Graph Neural Networks and data-driven machine learning methods for modelling complex networked systems.
Applications include energy grid modelling, renewable production forecasting, flexibility assessment and optimisation of integrated energy systems.
I am interested in contributing to CETP 2025 projects focused on system integration and clean energy transition.
Similar opportunities
Project cooperation
AI partner for CETP 2025 – Energy system modelling and flexibility
- R&D Partner
- Technology Partner
Antonio Longa
University of Trento
Italy
Project cooperation
- Consultant
- R&D Partner
- Call Module 2026-04: Industrial carbon management
- Call Module 2026-07: Heating and cooling technologies
- Call Module 2026-08: Integrated regional energy systems
- Call Module 2026-09: Integrated industrial energy systems
- Call Module 2026-10: Clean energy integration in the built environment
- Call Module 2026-01: Integrated energy system resilience in a changing environment
- Call Module 2026-06: Stationary battery technologies and systems for climate-neutral industry and built environment
- Call Module 2026-02 Energy system flexibility in a high renewable energy sources (RES) scenario: energy generation, storage and system integration
Hamza Salih Erden
Associate Professor at Istanbul Technical University
Türkiye
Service
Energy integration assessment at local/national/regional
Nicola Pardo Garcia
Scientist at AIT Austrian Institute of Technology GmbH
Vienna, Austria