| 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 | 78 | 2016 |
| Variance-based global sensitivity analysis for power systems F Ni, M Nijhuis, PH Nguyen, JFG Cobben IEEE Transactions on Power Systems 33 (2), 1670-1682, 2017 | 70 | 2017 |
| Assessment of the impacts of the renewable energy and ICT driven energy transition on distribution networks M Nijhuis, M Gibescu, JFG Cobben Renewable and Sustainable Energy Reviews 52, 1003-1014, 2015 | 66 | 2015 |
| Analysis of reflectivity & predictability of electricity network tariff structures for household consumers M Nijhuis, M Gibescu, JFG Cobben Energy Policy 109, 631-641, 2017 | 61 | 2017 |
| Integrating direct and indirect load control for congestion management in LV networks A Haque, M Nijhuis, G Ye, PH Nguyen, FW Bliek, JG Slootweg IEEE Transactions on Smart Grid 10 (1), 741-751, 2017 | 60 | 2017 |
| Gaussian mixture based probabilistic load flow for LV-network planning M Nijhuis, M Gibescu, S Cobben IEEE Transactions on Power Systems 32 (4), 2878-2886, 2016 | 52 | 2016 |
| Demand response: social welfare maximization in an unbundled energy market case study for the low-voltage networks of a distribution network operator in the Netherlands M Nijhuis, M Babar, M Gibescu, S Cobben IEEE Transactions on Industry Applications 53 (1), 32-38, 2016 | 45 | 2016 |
| Stochastic residential harmonic source modeling for grid impact studies G Ye, M Nijhuis, V Cuk, JFG Cobben Energies 10 (3), 372, 2017 | 29 | 2017 |
| Incorporation of on-load tap changer transformers in low-voltage network planning M Nijhuis, M Gibescu, JFG Cobben 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT …, 2016 | 25 | 2016 |
| Clustering of low voltage feeders from a network planning perspective M Nijhuis, M Gibescu, JFG Cobben Proceedings of the 23rd International Conference on Electricity Distribution …, 2015 | 23 | 2015 |
| Bayesian-inference-based voltage dip state estimation G Ye, Y Xiang, M Nijhuis, V Cuk, JFG Cobben IEEE transactions on instrumentation and measurement 66 (11), 2977-2987, 2017 | 19 | 2017 |
| Prediction of power fluctuation classes for photovoltaic installations and potential benefits of dynamic reserve allocation M Nijhuis, B Rawn, M Gibescu IET Renewable Power Generation 8 (3), 314-323, 2014 | 15 | 2014 |
| Classification technique to quantify the significance of partly cloudy conditions for reserve requirements due to photovoltaic plants M Nijhuis, BG Rawn, M Gibescu 2011 IEEE Trondheim PowerTech, 1-7, 2011 | 14 | 2011 |
| Valuation of measurement data for low voltage network expansion planning M Nijhuis, M Gibescu, JFG Cobben Electric Power Systems Research 151, 59-67, 2017 | 13 | 2017 |
| Appliance-based residential harmonic load modelling G Ye, M Nijhuis, V Cuk, JFG Cobben 2017 IEEE Manchester PowerTech, 1-6, 2017 | 13 | 2017 |
| Incorporating network uncertainties in voltage dip state estimation G Ye, M Nijhuis, V Cuk, JFG Cobben International Journal of Electrical Power & Energy Systems 113, 888-896, 2019 | 12 | 2019 |
| Long-term planning of low voltage networks M Nijhuis | 12 | 2017 |
| Risk‐based framework for the planning of low‐voltage networks incorporating severe uncertainty M Nijhuis, M Gibescu, S Cobben IET Generation, Transmission & Distribution 11 (2), 419-426, 2017 | 8 | 2017 |
| Scenario analysis of generic feeders to assess the adequacy of residential LV-grids in the coming decades M Nijhuis, M Gibescu, JFG Cobben 2015 IEEE Eindhoven PowerTech, 1-6, 2015 | 8 | 2015 |
| Stochastic household load modelling from a smart grid planning perspective M Nijhuis, R Bernards, M Gibescu, JFG Cobben 2016 IEEE International Energy Conference (ENERGYCON), 1-6, 2016 | 6 | 2016 |
