关注
M Nijhuis
M Nijhuis
Electrical Energy Systems, Eindhoven University of Technology
在 tue.nl 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
832016
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
752017
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
692015
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
682017
Analysis of reflectivity & predictability of electricity network tariff structures for household consumers
M Nijhuis, M Gibescu, JFG Cobben
Energy Policy 109, 631-641, 2017
612017
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
542016
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
462016
Stochastic residential harmonic source modeling for grid impact studies
G Ye, M Nijhuis, V Cuk, JFG Cobben
Energies 10 (3), 372, 2017
302017
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
262016
Clustering of low voltage feeders form a network planning perspective
M Nijhuis, M Gibescu, S Cobben
CIRED: Belgium, UK, 2015
222015
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
202017
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
162014
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
142019
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
142011
Valuation of measurement data for low voltage network expansion planning
M Nijhuis, M Gibescu, JFG Cobben
Electric Power Systems Research 151, 59-67, 2017
132017
Appliance-based residential harmonic load modelling
G Ye, M Nijhuis, V Cuk, JFG Cobben
2017 IEEE Manchester PowerTech, 1-6, 2017
132017
Long-term planning of low voltage networks
M Nijhuis
112017
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
62017
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
62016
系统目前无法执行此操作,请稍后再试。
文章 1–20