| Impacts of wind power on thermal generation unit commitment and dispatch BC Ummels, M Gibescu, E Pelgrum, WL Kling, AJ Brand IEEE Transactions on energy conversion 22 (1), 44-51, 2007 | 873 | 2007 |
| Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science DC Mocanu, E Mocanu, P Stone, PH Nguyen, M Gibescu, A Liotta Nature communications 9 (1), 2383, 2018 | 757 | 2018 |
| Deep learning for estimating building energy consumption E Mocanu, PH Nguyen, M Gibescu, WL Kling Sustainable Energy, Grids and Networks 6, 91-99, 2016 | 706 | 2016 |
| On-line building energy optimization using deep reinforcement learning E Mocanu, DC Mocanu, PH Nguyen, A Liotta, ME Webber, M Gibescu, ... IEEE transactions on smart grid 10 (4), 3698-3708, 2018 | 662 | 2018 |
| An integrated blockchain-based energy management platform with bilateral trading for microgrid communities G Van Leeuwen, T AlSkaif, M Gibescu, W Van Sark Applied Energy 263, 114613, 2020 | 299 | 2020 |
| Operating reserves and wind power integration: An international comparison M Milligan, P Donohoo, D Lew, E Ela, B Kirby, H Holttinen, E Lannoye, ... National Renewable Energy Lab.(NREL), Golden, CO (United States), 2010 | 213 | 2010 |
| Unsupervised energy prediction in a Smart Grid context using reinforcement cross-building transfer learning E Mocanu, PH Nguyen, WL Kling, M Gibescu Energy and Buildings 116, 646-655, 2016 | 185 | 2016 |
| Optimizing the operation of energy storage using a non-linear lithium-ion battery degradation model A Maheshwari, NG Paterakis, M Santarelli, M Gibescu Applied Energy 261, 114360, 2020 | 177 | 2020 |
| A review of multi-energy system planning and optimization tools for sustainable urban development I Van Beuzekom, M Gibescu, JG Slootweg 2015 IEEE Eindhoven PowerTech, 1-7, 2015 | 153 | 2015 |
| Deep learning versus traditional machine learning methods for aggregated energy demand prediction NG Paterakis, E Mocanu, M Gibescu, B Stappers, W van Alst 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT …, 2017 | 137 | 2017 |
| Local market framework for exploiting flexibility from the end users SS Torbaghan, N Blaauwbroek, P Nguyen, M Gibescu 2016 13th International Conference on the European Energy Market (EEM), 1-6, 2016 | 135 | 2016 |
| A topological insight into restricted boltzmann machines DC Mocanu, E Mocanu, PH Nguyen, M Gibescu, A Liotta Machine Learning 104, 243-270, 2016 | 121 | 2016 |
| Scenario-based modelling of future residential electricity demands and assessing their impact on distribution grids E Veldman, M Gibescu, HJG Slootweg, WL Kling Energy policy 56, 233-247, 2013 | 121 | 2013 |
| Advanced hybrid transient stability and EMT simulation for VSC-HVDC systems AA van der Meer, M Gibescu, MAMM van der Meijden, WL Kling, ... IEEE Transactions on Power Delivery 30 (3), 1057-1066, 2014 | 118 | 2014 |
| A community-based energy market design using decentralized decision-making under uncertainty JL Crespo-Vazquez, T AlSkaif, AM Gonzalez-Rueda, M Gibescu IEEE Transactions on Smart Grid 12 (2), 1782-1793, 2020 | 115 | 2020 |
| A market-based framework for demand side flexibility scheduling and dispatching SS Torbaghan, N Blaauwbroek, D Kuiken, M Gibescu, M Hajighasemi, ... Sustainable Energy, Grids and Networks 14, 47-61, 2018 | 92 | 2018 |
| Short-term energy balancing with increasing levels of wind energy J Kiviluoma, P Meibom, A Tuohy, N Troy, M Milligan, B Lange, M Gibescu, ... IEEE Transactions on Sustainable Energy 3 (4), 769-776, 2012 | 87 | 2012 |
| Estimation of variability and predictability of large‐scale wind energy in The Netherlands M Gibescu, AJ Brand, WL Kling Wind Energy: An International Journal for Progress and Applications in Wind …, 2009 | 87 | 2009 |
| Bottom-up Markov Chain Monte Carlo approach for scenario based residential load modelling with publicly available data M Nijhuis, M Gibescu, JFG Cobben Energy and Buildings 112, 121-129, 2016 | 85 | 2016 |
| Enabling cooperative behavior for building demand response based on extended joint action learning LA Hurtado, E Mocanu, PH Nguyen, M Gibescu, RIG Kamphuis IEEE Transactions on Industrial Informatics 14 (1), 127-136, 2017 | 82 | 2017 |
Phuong H. NguyenEindhoven University of TechnologyEmail được xác minh tại tue.nl
