| 1 |
Multi-agent reinforcement learning for modeling and control of thermostatically controlled loads
Kazmi H, Suykens J, Balint A, Driesen J
Applied Energy, 238, 1022, 2019 |
| 2 |
Modeling and validation of a DC/DC power converter for building energy simulations: Application to BIPV systems
Spiliotis K, Goncalves JE, Van De Sande W, Ravyts S, Daenen M, Saelens D, Baert K, Driesen J
Applied Energy, 240, 646, 2019 |
| 3 |
Electricity load-shedding in Pakistan: Unintended consequences, opportunities and policy recommendations
Kazmi H, Mehmood F, Tao ZM, Riaz Z, Driesen J
Energy Policy, 128, 411, 2019 |
| 4 |
A critical review of power quality standards and definitions applied to DC microgrids
Van den Broeck G, Stuyts J, Driesen J
Applied Energy, 229, 281, 2018 |
| 5 |
Gigawatt-hour scale savings on a budget of zero: Deep reinforcement learning based optimal control of hot water systems
Kazmi H, Mehmood F, Lodeweyckx S, Driesen J
Energy, 144, 159, 2018 |
| 6 |
Bayesian inference based MPPT for dynamic irradiance conditions
Lefevre B, Herteleer B, De Breucker S, Driesen J
Solar Energy, 174, 1153, 2018 |
| 7 |
Reconfigurable emulator for photovoltaic modules under static partial shading conditions
Mai TD, De Breucker S, Baert K, Driesen J
Solar Energy, 141, 256, 2017 |
| 8 |
Spatial and temporal analysis of wind effects on PV modules: Consequences for electrical power evaluation
Goverde H, Goossens D, Govaerts J, Catthoor F, Baert K, Poortmans J, Driesen J
Solar Energy, 147, 292, 2017 |
| 9 |
Normalised efficiency of photovoltaic systems: Going beyond the performance ratio
Herteleer B, Huyck B, Catthoor F, Driesen J, Cappelle J
Solar Energy, 157, 408, 2017 |
| 10 |
Revision of reserve requirements following wind power integration in island power systems
De Vos K, Petoussis AG, Driesen J, Belmans R
Renewable Energy, 50, 268, 2013 |
