Amit Saraswat

About

Dr. Amit Saraswat received his Ph.D. (Electrical Power Systems), M.Tech. (Engineering Systems) and B.Sc.Engg. (Electrical Engineering) from Faculty of Engineering, Dayalbagh Educational Institute, Dayalbagh, Agra, India in 2013, 2006 and 2003 respectively. Presently, he is working as a Professor in Department of Electrical Engineering, Manipal University Jaipur, Rajasthan, India since July 2014. His research area includes Grid Integration Studies for Renewable Energy Systems, Reactive Power & Congestion Management, Competitive Electricity Markets, Competitive Bidding, Multi-objective Evolutionary Methods and Applications of Soft-Computing Techniques in Power System Optimization etc. He has authored several research articles in peer-reviewed International/National Journals, chapters in book series, and also many research papers in peer-reviewed International/National conference proceedings. He is currently supervising 04 Ph.D. thesis and supervised 03 M.Tech. dissertations. He is a life member of the Indian Society for Technical Education (India), and Member of IEEE (USA) and IEEE Power & Energy Society.

Employment

• Manipal University Jaipur Professor
  2014 - Present
• Uttar Pradesh Technical University Assistant Professor, Department of Electrical & Electronics Engineering
  2006 - 2014

Education

• Dayalbagh Educational Institute Ph.D. (Electrical Power System)
  2010 - 2013
• Dayalbagh Educational Institute M.Tech. (Engineering Systems)
  2004 - 2006
• Dayalbagh Educational Institute B.Sc.Engineering
  1999 - 2003

Projects & Funding

Projects & funding information is unavailable.

Publications (72)

• Advanced optimization problems and solution methods for renewable energy integration - A bibliometric review
  Unconventional Resources 2027 DOI: 10.1016/j.uncres.2026.100516
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• Risk-Averse Coordinated Operation of Distributed Energy Resources in Active Distribution Networks Considering Load and Renewable Uncertainty
  Energies 2026 DOI: 10.3390/en19133149
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• A new hybrid deep-learning model with hyperparameter optimization for short-term wind power generation forecasting
  Unconventional Resources 2026 DOI: 10.1016/j.uncres.2026.100365
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• A New Stochastic Unified Energy and Reactive Power Market Operation with TSO-DSO Coordination
  Results in Engineering 2026 DOI: 10.1016/j.rineng.2026.110123
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• Resilient microgrid energy management under weather dependent uncertainties: a stochastic multi-objective optimization framework
  Results in Engineering 2026 DOI: 10.1016/j.rineng.2026.111276
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• Deep learning prediction models for short-term solar photovoltaic power generation forecasting
  Next Energy 2026 DOI: 10.1016/j.nxener.2026.100531
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• An Uncertainty Aware Optimal Energy Management Model for Smart Distribution Networks Contemplating Reactive Support From VRE and Energy Storage Systems
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3573197
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• Predicting Stock Price and Market Direction Using Statistical and LSTM Models
  Lecture Notes in Electrical Engineering 2025 DOI: 10.1007/978-981-97-8429-5_10
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• Optimization-Based Cost Analysis for Energy Management System in Microgrids
  Lecture Notes in Electrical Engineering 2025 DOI: 10.1007/978-981-97-8429-5_8
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• Optimal Scheduling of Solar PV Generators and Network Assets in Distribution Network
  2025 DOI: 10.1007/978-981-97-8429-5_18
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