| Battery scheduling in a residential multi-carrier energy system using reinforcement learning BV Mbuwir, M Kaffash, G Deconinck 2018 IEEE International Conference on Communications, Control, and Computing …, 2018 | 32 | 2018 |
| Data‐driven forecasting of local PV generation for stochastic PV‐battery system management M Kaffash, K Bruninx, G Deconinck International Journal of Energy Research 45 (11), 15962-15979, 2021 | 21 | 2021 |
| Ensemble machine learning forecaster for day ahead PV system generation M Kaffash, G Deconinck 2019 IEEE 7th International Conference on Smart Energy Grid Engineering …, 2019 | 17 | 2019 |
| Interval optimization to schedule a multi-energy system with data-driven pv uncertainty representation M Kaffash, G Ceusters, G Deconinck Energies 14 (10), 2739, 2021 | 9 | 2021 |
| Market-based flexibility services for congestion management-a comprehensive approach using the example of German distribution grids D Brummund, G Milzer, R D'Hulst, P Kratsch, MU Hashmi, L Adam, ... 27th International Conference on Electricity Distribution (CIRED 2023) 2023 …, 2023 | 6 | 2023 |
| Optimal scheduling of a residential energy storage device in multi-carrier energy systems M Kaffash, K Thoelen, G Deconinck IEEE Benelux PELS/PES/IAS Young Researchers Symposium, 2018 | 6 | 2018 |
| A combinational maximum power point tracking algorithm in photovoltaic systems under partial shading conditions M Kaffash, MH Javidi, A Darudi 2016 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG …, 2016 | 6 | 2016 |
| Comparison of statistical-based and data-driven-based scenario generation of PV power for stochastic day-ahead battery scheduling M Kaffash, G Deconinck 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 730-734, 2020 | 3 | 2020 |
| Deliverable: D8. 2 German Demonstrator―Demonstration of congestion management using market-based flexibility in the LV grid P Kratsch, HA Uggla, D Brummund, K Sinitsyna, M Kaffash, E Heylen, ... European Commission, 2023 | 2 | 2023 |
| Deliverable: D8. 3 German Demonstrator―Demonstration of congestion management using market driven utilisation of flexibility options in a LV grid Demonstration results … G Milzer, HA Uggla, D Brummund, K Sinitsyna, P Kratsch, M Kaffash, ... Deliverable: D8. 3 German Demonstrator―Demonstration of congestion …, 2023 | 1 | 2023 |
| The EUniversal Portuguese demonstrator: from MV-LV coordinated identification of flexibility needs to activation through the UMEI RL Mourão, C Gouveia, G Sampaio, F Retorta, C Merckx, F Benothman, ... IET Conference Proceedings CP823 2023 (6), 801-805, 2023 | 1 | 2023 |
| The UMEI-Universal Market Enabling interface. Enabling standard interaction with various flexibility markets to procure grid services C Silva, G Milzer, A Debray, M Kaffash, N Sætre, C Dumont, E Heylen, ... 27th International Conference on Electricity Distribution (CIRED 2023) 2023 …, 2023 | 1 | 2023 |
| Deliverable: D8. 1 german demonstrator-demonstration of congestion management using market driven utilisation of flexibility options in a lv grid specifications and guidelines … F Bockemühl, D Brummund, K Sinitsyna, M Staudt, G Milzer, M Kaffash, ... | 1 | 2022 |
| Interval optimization to schedule multi-energy systems considering PV power generation uncertainty M Kaffash, G Ceusters, G Deconinck IET Conference Proceedings CP785 2021 (6), 2626-2630, 2021 | 1 | 2021 |
| Optimal Bidding by Aggregator of Energy Community in the DSO Flexibility Market M Kaffash, F Zobiri, AK Sampathirao, V Vrabel, B Krikler 2025 21st International Conference on the European Energy Market (EEM), 1-6, 2025 | | 2025 |
| EUniversal Deliverable 10.5 Exploitation and Roadmap J Vanschoenwinkel, K Kessels, J Mason, R Ariana, F Gonçalo, CD Silva, ... EUniversal Deliverable 10.5 Exploitation and Roadmap, 2023 | | 2023 |
| Data-Driven Uncertainty Representation for Scheduling Flexibility in Energy Systems M Kaffash, G Deconinck | | 2022 |
| Utilization of financial contracts by wind power plants to benefit promotion and risk reduction N Yektay, FD Farimani, M Kaffash, MH Javidi, S Fazaeli 2016 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG …, 2016 | | 2016 |
| A Method To Model And Forecast Seasonal Load Duration Curve M Kaffash, A Darudi, N Yektay, MH JAVIDI | | 2014 |
| No Authors N Yektay, FD Farimani, M Kaffash, MH Javidi, S Fazaeli | | |
Geert DeconinckProfessor of smart grids (prof.dr.ir.), KU Leuven, EnergyVilleVerified email at kuleuven.be
