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M Nijhuis
M Nijhuis
Electrical Energy Systems, Eindhoven University of Technology
Verified email at tue.nl
Title
Cited by
Cited by
Year
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
622016
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
482017
Analysis of reflectivity & predictability of electricity network tariff structures for household consumers
M Nijhuis, M Gibescu, JFG Cobben
Energy Policy 109, 631-641, 2017
442017
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
432015
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
382017
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
382016
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
352016
Stochastic residential harmonic source modeling for grid impact studies
G Ye, M Nijhuis, V Cuk, JFG Cobben
Energies 10 (3), 372, 2017
272017
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
222015
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
192016
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
142014
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
132017
Long-term planning of low voltage networks
M Nijhuis
Technische Universiteit Eindhoven, 2017
122017
Valuation of measurement data for low voltage network expansion planning
M Nijhuis, M Gibescu, JFG Cobben
Electric Power Systems Research 151, 59-67, 2017
112017
Appliance-based residential harmonic load modelling
G Ye, M Nijhuis, V Cuk, JFG Cobben
2017 IEEE Manchester PowerTech, 1-6, 2017
92017
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
92011
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
82015
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
72017
Assessment of probabilistic methods for simulating household load patterns in distribution grids
M Nijhuis, BMJ Vonk, M Gibescu, JFG Cobben, JG Slootweg
72015
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
62019
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