Dr. Jayalakshmi N. S.

About

Senior Professor and Dean
School of Electrical Engineering
Manipal Institute of Technology, MAHE
Manipal-576104

Employment

• School of Electrical Engineering Manipal Institute of Technology, MAHE
• Manipal Institute of Technology Professor

Education

• National Institute of Technology Karnataka PhD
  2010 - 2015
• National Institute of Engineering M. Tech
  1997 - 1999
• M S Ramaiah Institute of Technology B. E.
  1987 - 1991

Projects & Funding

Projects & funding information is unavailable.

Publications (108)

• 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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• Multilayer perceptron neural network approach for power quality improvement in a grid integrated PV and electric vehicle systems
  PLOS One 2026 DOI: 10.1371/journal.pone.0350947
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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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• A Grid-Interfaced DC Microgrid-Enabled Charging Infrastructure for Empowering Smart Sustainable Cities and Its Impacts on the Electrical Network: An Inclusive Review
  Smart Cities 2025 DOI: 10.3390/smartcities8050176
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• Metaheuristic Algorithms for Evaluating the Effect of Electric Vehicle Charging Infrastructures in Distribution Networks
  Electric Power Components and Systems 2025 DOI: 10.1080/15325008.2023.2258872
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• A Golden Jackal based optimal operation and optimization of a virtual power plant involving renewable resources
  Scientific Reports 2025 DOI: 10.1038/s41598-025-09164-y
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• Optimization of distribution network operating parameters in grid tied microgrid with electric vehicle charging station placement and sizing in the presence of uncertainties
  International Journal of Green Energy 2025 DOI: 10.1080/15435075.2023.2281334
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• Interconnected Operation and Economic Feasibility-Based Sustainable Planning of Virtual Power Plant in Multi-Area Context
  Smart Cities 2025 DOI: 10.3390/smartcities8010037
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• Scheduling and assessment of multi-area virtual power plant including flexible resources using swarm intelligence technique
  Electric Power Systems Research 2025 DOI: 10.1016/j.epsr.2024.111139
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• A Compound of Deep-Learning and Feature Selection for Solar Power Forecasting Applications
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3610419
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