معرفی
Evgenii Genov is a Researcher at the MOBI - Electromobility Research Centre within the Department of Electrical Engineering and Power Electronics, Faculty of Engineering, Vrije Universiteit Brussel (VUB), Belgium, focusing on data-driven solutions for sustainable energy systems and electric vehicle integration.
His research centers on electric vehicle charging flexibility forecasting, microgrid load optimization, and scheduling algorithms for energy cost reduction. Genov employs advanced methodologies including tree-based machine learning, reinforcement learning, and evolutionary algorithms to address critical challenges in renewable energy integration and smart grid management, with practical applications in transportation electrification and grid stability.
Analysis of his 2021-2024 publications reveals a strong trajectory toward real-world validation of AI-driven energy management systems, particularly in electric vehicle charging infrastructure and microgrid operations. His work consistently bridges theoretical innovation with industrial applicability through collaborations with energy sector partners.
Scientific Awards:
- 1st place in PhD Forecasting Hackathon (International Institute of Forecasters, 2024)
- 3rd prize for IEEE-CIS Technical Challenge on Predict+Optimize for Renewable Energy Scheduling (2000$, 2021)
- Neurips 2022: Citylearn challenge community prize travel grant (1000$, 2022)
Genov actively contributes to academic discourse through conference leadership (including chairing the 2025 Zinal Winter School) and presentations at venues like NeurIPS 2022. His collaborative projects generate open-source datasets and tools, demonstrating commitment to reproducible energy research.
As a core member of the MOBI research center, Genov works within a multidisciplinary team advancing electromobility solutions through projects that integrate vehicle-grid interaction studies with cutting-edge forecasting and optimization techniques.
