Dr. Neeraj Kumar Singh

Employment

• HCL Technologies (India) Senior Technical Lead
  2023 - Present
• NeST Digital Senior Software Engineer
  2022 - Present
• Larsen and Toubro Ltd - Bangalore R&D Engineer
  2021 - 2022
• Sardar Vallabhbhai National Institute of Technology Surat Research Scholar
  2018 - 2021
• PES College of Engineering Assistant Professor
  2016 - 2018
• Wind World India Ltd Electrical Engineer
  2012 - 2013

Education

• Sardar Vallabhbhai National Institute of Technology Surat Ph.D- Electrical Engineering
  2018 - 2021
• Government College of Engineering Aurangabad M.E- Electrical Power Systems
  2014 - 2016
• Babu Banarasi Das University B.Tech-Electrical Engineering
  2008 - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (40)

• Forecasting Intrusion Behaviour in Critical Power Systems Infrastructure Using Advanced Autoregressive Moving Average (AARMA) Based Intrusion Detection for Efficacious Alert System
  Scientia Iranica 2023 DOI: 10.24200/SCI.2023.58059.5550
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• Modified Reliability Assessment Method for Analysis of Cyber-Physical System Consisting IEEE 24 Bus System Parallel with Cyber Network
  Smart Science 2023 DOI: 10.1080/23080477.2022.2046942
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• Impact of PV, WT, GTG, and ESS on the reliability of distribution system
  Majlesi Journal of Electrcial Engineering (MJEE) 2023
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• Cyber Security for Smart Grid: Vulnerabilities, Attacks, and Solution
  Sustainable Technology and Advanced Computing in Electrical Engineering 2022 DOI: 10.1007/978-981-19-4364-5_60
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• Review on Reliability Assessment in Power System
  Sustainable Technology and Advanced Computing in Electrical Engineering 2022 DOI: 10.1007/978-981-19-4364-5_17
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• Review on Cybersecurity and Major Cyberthreats of Smart Meters
  2022 DOI: 10.1007/978-981-19-4364-5_38
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• Reliability Evaluation in Physical Power Systems and Communication Network for Protection Failures
  Sustainable Technology and Advanced Computing in Electrical Engineering 2022 DOI: 10.1007/978-981-19-4364-5_79
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• Reliability Assessment of Smart Grid with Renewable Energy Sources, Storage Devices, and Cyber Intrusion
  Springer Proceedings in Energy 2022 DOI: 10.1007/978-981-16-6879-1_51
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• Hourly Load Forecasting Using Sequence-to-Sequence LSTM-Based Deep Machine Learning Model
  2022 DOI: 10.1007/978-981-19-4364-5_34
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• Analysis and Prevention of Denial of Service Attacks in Smart Grid Using IoT
  2022 DOI: 10.1007/978-981-19-4364-5_27
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