Shashank Vyas

Employment

• SoftBank Group (Japan) SB Energy Manager - Energy Storage
  2021 - Present
• The Energy and Resources Institute Associate Fellow
  2017 - Present
• Malaviya National Institute of Technology MNRE-Junior Research Fellow
  2014 - 2017

Education

• Malaviya National Institute of Technology PhD
  2014 - 2017
• TERI University M.Tech. Renewable Energy Engineering and Management
  2012 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Computational geometry-based methodology for identification of potential islanding initiators in high solar PV penetration distribution feeders
  IET Renewable Power Generation 2018 DOI: 10.1049/iet-rpg.2017.0111
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• Switching state prediction for residential loads with weather data for smart automated demand response
  2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE) 2017 DOI: 10.1109/rdcape.2017.8358321
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• Data analytics and computational methods for anti-islanding of renewable energy based Distributed Generators in power grids
  Renewable and Sustainable Energy Reviews 2017 DOI: 10.1016/j.rser.2016.11.116
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• Identification of potential islanding initiators in radial feeders with high solar PV penetration for preemptive preparedness
  2017 IEEE International Conference on Industrial and Information Systems (ICIIS) 2017 DOI: 10.1109/iciinfs.2017.8300336
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• A preliminary study towards conceptualization and implementation of a load learning model for smart automated demand response
  2016 IEEE 7th Power India International Conference (PIICON) 2016 DOI: 10.1109/poweri.2016.8077212
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• Implementation of a fuzzy logic based perturb and observe approach for maximum power point tracking of solar PV modules
  2016 IEEE 7th Power India International Conference (PIICON) 2016 DOI: 10.1109/poweri.2016.8077209
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• Customer and aggregator balanced dynamic Electric Vehicle charge scheduling in a smart grid framework
  2016 International Conference on Electrical Power and Energy Systems (ICEPES) 2016 DOI: 10.1109/icepes.2016.7915943
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• Multivariate Statistics and Supervised Learning for Predictive Detection of Unintentional Islanding in Grid-Tied Solar PV Systems
  Applied Computational Intelligence and Soft Computing 2016 DOI: 10.1155/2016/3684238
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• Preemptive mode-change triggering for inverters in response to unintentional islanding situations in high solar PV penetration distribution networks
  2016 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES) 2016 DOI: 10.1109/pedes.2016.7914422
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• Unsupervised learning in islanding studies: Applicability study for predictive detection in high solar PV penetration distribution feeders
  2016 IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering (UPCON) 2016 DOI: 10.1109/upcon.2016.7894680
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