VIKAS SINGH

Employment

• National Institute of Technology Karnataka Research Scholar
  2018 - Present

Education

• National Institute of Technology Karnataka M.Tech
  2016 - 2018
• Roorkee Institute of Technology Roorkee B.Tech
  2011 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• A modified point estimate-based probabilistic load flow approach for improving tail accuracy in wind-integrated power systems
  Electric Power Systems Research 2025 DOI: 10.1016/j.epsr.2025.111606
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• Maximum entropy based probabilistic load flow for assessing input uncertainties and line outages in wind-integrated power systems
  Electric Power Systems Research 2025 DOI: 10.1016/j.epsr.2025.111528
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• Probabilistic Load Flow Approach Combining Cumulant Method and K-Means Clustering to Handle Large Fluctuations of Stochastic Variables
  IEEE Transactions on Industry Applications 2023 DOI: 10.1109/TIA.2023.3239558
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• Probabilistic Load Flow Study Considering Fuzzy Logic-Based Contingency Sequencing for Network Outages
  2023 DOI: 10.1007/978-981-99-4175-9_6
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• Probabilistic Load Flow for Wind Integrated Power System Considering Node Power Uncertainties and Random Branch Outages
  IEEE Transactions on Sustainable Energy 2023 DOI: 10.1109/TSTE.2022.3216914
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• Modified Cumulant based Probabilistic Load Flow Considering Correlation between Loads and Wind Power Generations
  2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET) 2022 DOI: 10.1109/globconet53749.2022.9872363
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• Probabilistic Steady-State Analysis of Power Systems Integrated with Renewable Generations
  Renewable Energy Integration to the Grid: A Probabilistic Perspective 2022
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• Probabilistic Load Flow Considering Load and Wind Power Uncertainties using Modified Point Estimation Method
  2022 3rd International Conference on Smart Grid and Renewable Energy (SGRE) 2022 DOI: 10.1109/sgre53517.2022.9774214
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• Uncertainty handling techniques in power systems: A critical review
  Electric Power Systems Research 2022 DOI: 10.1016/j.epsr.2021.107633
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• Comparative Evaluation of Basic Probabilistic Load Flow Methods with Wind Power Integration
  2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies 2021 DOI: 10.1109/icepe50861.2021.9404524
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