D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 33 Citations 6,114 301 World Ranking 6111 National Ranking 117

Overview

What is he best known for?

The fields of study WL Wil Kling is best known for:

  • Electrical impedance
  • Voltage
  • Direct current

His Artificial intelligence research overlaps with Simulation and Artificial neural network. In his papers, he integrates diverse fields, such as Simulation and Artificial intelligence. His Quantum mechanics study frequently draws connections between related disciplines such as Time horizon. The study of Time horizon is intertwined with the study of Quantum mechanics in a number of ways. He regularly ties together related areas like Transient (computer programming) in his Operating system studies. His work on Operating system expands to the thematically related Transient (computer programming). Many of his studies involve connections with topics such as Dynamic demand and Power (physics). His work on Dynamic demand is being expanded to include thematically relevant topics such as Power (physics). In his research, WL Wil Kling performs multidisciplinary study on Schedule and Mathematical optimization.

His most cited work include:

  • Advanced Hybrid Transient Stability and EMT Simulation for VSC-HVDC Systems (85 citations)
  • Pseudo dynamic transitional modeling of building heating energy demand using artificial neural network (79 citations)

What are the main themes of his work throughout his whole career to date

Other disciplines of study, such as Econometrics and Predictability, are mixed together with his Statistics studies. By researching both Econometrics and Statistics, he produces research that crosses academic boundaries. His Operating system research is linked to Schedule and Transient (computer programming). In his work, he performs multidisciplinary research in Schedule and Mathematical optimization. His study brings together the fields of Time horizon and Mathematical optimization. His Quantum mechanics research extends to the thematically linked field of Time horizon. His research on Quantum mechanics often connects related areas such as Power system simulation. His research on Transient (computer programming) often connects related topics like Operating system. WL Wil Kling integrates many fields in his works, including Electrical engineering and Electronic engineering.

WL Wil Kling most often published in these fields:

  • Electrical engineering (78.57%)
  • Quantum mechanics (57.14%)
  • Power (physics) (57.14%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Deep learning for estimating building energy consumption

E Elena Mocanu;HP Phuong Nguyen;M Madeleine Gibescu;WL Wil Kling.
Sustainable Energy, Grids and Networks (2016)

469 Citations

Integration Issues of Distributed Generation in Distribution Grids

E J Coster;J M A Myrzik;B Kruimer;W L Kling.
Proceedings of the IEEE (2011)

464 Citations

Characterisation of electrical energy storage technologies

Helder Lopes Ferreira;Raquel Garde;Gianluca Fulli;Wil Kling.
Energy (2013)

458 Citations

Integration of stochastic generation in power systems

G Papaefthymiou;PH Schavemaker;van der L Lou Sluis;WL Wil Kling;WL Wil Kling.
International Journal of Electrical Power & Energy Systems (2006)

248 Citations

Usefulness of DC power flow for active power flow analysis with flow controlling devices

D Van Hertem;J Verboomen;K Purchala;R Belmans.
Proceedings of The 8th IEE International Conference on ACDC 2006 AC and DC Power Transmission (2006)

213 Citations

Operating Reserves and Wind Power Integration: An International Comparison

M Milligan;P Donohoo;D Lew;E Ela.
(2010)

190 Citations

A methodology for modeling the behavior of electricity prosumers within the smart grid

Ioannis Lampropoulos;Greet M. A. Vanalme;Wil L. Kling.
ieee pes innovative smart grid technologies conference (2010)

140 Citations

Unsupervised energy prediction in a Smart Grid context using reinforcement cross-building transfer learning

E Elena Mocanu;HP Phuong Nguyen;WL Wil Kling;M Madeleine Gibescu.
Energy and Buildings (2016)

111 Citations

Scenario-based modelling of future residential electricity demands and assessing their impact on distribution grids

E Else Veldman;M Madeleine Gibescu;JG Han Slootweg;WL Wil Kling.
Energy Policy (2013)

103 Citations

Virtual power plants: An answer to increasing distributed generation

K. El Bakari;W. L. Kling.
ieee pes innovative smart grid technologies conference (2010)

101 Citations

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Best Scientists Citing WL Wil Kling

Zhe Chen

Zhe Chen

Aalborg University

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Joao P. S. Catalao

Joao P. S. Catalao

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Universitat Politècnica de Catalunya

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Víctor Manuel Fernandes Mendes

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Huazhong University of Science and Technology

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Nick Jenkins

Cardiff University

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Mark O'Malley

Mark O'Malley

University College Dublin

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Eduard Muljadi

Eduard Muljadi

Auburn University

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Arindam Ghosh

Arindam Ghosh

Curtin University

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Gerard Ledwich

Gerard Ledwich

Queensland University of Technology

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Ronnie Belmans

Ronnie Belmans

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Johan Driesen

Johan Driesen

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Math Bollen

Math Bollen

Luleå University of Technology

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Federico Milano

Federico Milano

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S. M. Muyeen

S. M. Muyeen

Qatar University

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