| Agent-based modelling of socio-technical systems KH Van Dam, I Nikolic, Z Lukszo Springer Science & Business Media, 2012 | 429 | 2012 |
| Network impacts and cost savings of controlled EV charging RA Verzijlbergh, MOW Grond, Z Lukszo, JG Slootweg, MD Ilic IEEE transactions on Smart Grid 3 (3), 1203-1212, 2012 | 243 | 2012 |
| Renewable energy sources and responsive demand. Do we need congestion management in the distribution grid? RA Verzijlbergh, LJ De Vries, Z Lukszo IEEE Transactions on Power Systems 29 (5), 2119-2128, 2014 | 242 | 2014 |
| Business innovation and government regulation for the promotion of electric vehicle use: lessons from Shenzhen, China Y Li, C Zhan, M de Jong, Z Lukszo Journal of Cleaner Production 134, 371-383, 2016 | 188 | 2016 |
| Electric vehicle charging in China’s power system: Energy, economic and environmental trade-offs and policy implications Y Li, C Davis, Z Lukszo, M Weijnen Applied energy 173, 535-554, 2016 | 137 | 2016 |
| Optimizing the location of intermodal freight hubs: an overview of the agent based modelling approach A Sirikijpanichkul, L FERREIRA, Z LUKSZO Journal of transportation systems engineering and information technology 7 …, 2007 | 117 | 2007 |
| Fuel cell cars in a microgrid for synergies between hydrogen and electricity networks F Alavi, EP Lee, N Van de Wouw, B De Schutter, Z Lukszo Applied Energy 192, 296-304, 2017 | 109 | 2017 |
| The impact of inter-regional transmission grid expansion on China’s power sector decarbonization Y Li, Z Lukszo, M Weijnen Applied energy 183, 853-873, 2016 | 88 | 2016 |
| The impact of controlled electric vehicle charging on residential low voltage networks RA Verzijlbergh, Z Lukszo, JG Slootweg, MD Ilic 2011 International Conference on Networking, Sensing and Control, 14-19, 2011 | 68 | 2011 |
| Aggregator’s business models in residential and service sectors: A review of operational and financial aspects Ö Okur, P Heijnen, Z Lukszo Renewable and Sustainable Energy Reviews 139, 110702, 2021 | 64 | 2021 |
| Intelligent infrastructures RR Negenborn Springer, 2010 | 64 | 2010 |
| A practical approach to recipe improvement and optimization in the batch processing industry Z Verwater-Lukszo Computers in industry 36 (3), 279-300, 1998 | 64 | 1998 |
| Aggregator-mediated demand response: Minimizing imbalances caused by uncertainty of solar generation Ö Okur, N Voulis, P Heijnen, Z Lukszo Applied Energy 247, 426-437, 2019 | 62 | 2019 |
| Predictive control for national water flow optimization in The Netherlands PJ Van Overloop, RR Negenborn, BD Schutter, NC Van De Giesen Intelligent infrastructures, 439-461, 2010 | 61 | 2010 |
| Optimized scheduling of EV charging in solar parking lots for local peak reduction under EV demand uncertainty R Ghotge, Y Snow, S Farahani, Z Lukszo, A van Wijk Energies 13 (5), 1275, 2020 | 59 | 2020 |
| Agent-based control of distributed electricity generation with micro combined heat and power—Cross-sectoral learning for process and infrastructure engineers KH van Dam, M Houwing, Z Lukszo, I Bouwmans Computers & Chemical Engineering 32 (1-2), 205-217, 2008 | 58 | 2008 |
| The implications of CO2 price for China’s power sector decarbonization Y Li, Z Lukszo, M Weijnen Applied energy 146, 53-64, 2015 | 56 | 2015 |
| Does controlled electric vehicle charging substitute cross-border transmission capacity? R Verzijlbergh, CB Martínez-Anido, Z Lukszo, L de Vries Applied energy 120, 169-180, 2014 | 56 | 2014 |
| Hydrogen-based integrated energy and mobility system for a real-life office environment SS Farahani, C Bleeker, A van Wijk, Z Lukszo Applied energy 264, 114695, 2020 | 54 | 2020 |
| Critical evaluation of paradigms for modelling integrated supply chains KH van Dam, A Adhitya, R Srinivasan, Z Lukszo Computers & Chemical Engineering 33 (10), 1711-1726, 2009 | 53 | 2009 |
prof.dr.ir. M.P.C. WeijnenDelft University of TechnologyVerified email at tudelft.nl
