N. Gouthamkumar
National Fire Service College, Ministry of Home Affairs, Government of India, National Institute of Technology Hamirpur
Research areas: Engineering · Electrical and Electronic Engineering · Electric Power System Optimization · Metaheuristic Optimization Algorithms Research · Water resources management and optimization
About
Dr. Gouthamkumar received his B. Tech degree in Electrical and Electronics Engineering from JNTU-Kakinada, in 2009, and his M. Tech and PhD degrees in Electrical Engineering from the National Institute of Technology, Hamirpur, Himachal Pradesh, in 2012 and 2017.
Now, Dr. Goutham Kumar Nadakuditi is working as an Assistant Professor (Group `A’, Gazetted officer, Non- Ministerial) in National Fire Service College Nagpur, Ministry of Home Affairs, Government of India.
He teaches electrical concepts in FIRE, power systems, solar photovoltaic, renewable energy systems, HVDC, FACTS and directs research projects in the area of Fire Engineering related to airport fire, electrical traction fire, IOT based firefighting equipment, Smart Hybrid Fire Electric Vehicles, Electrical transformer fires, etc. His broad area of research focuses on power system optimization, hydrothermal scheduling, solar photovoltaics, wind integration, demand side management, etc.
He has published good number of research publications around 35 in various international Journals/conference proceedings including the main power system engineering journals like IEEE- Transactions on Dielectrics and Electrical Insulation, IET Generation, Transmission and Distribution, Expert System with Applications, Soft Computing, Electric Power Components and Systems, IETE Journal of Research with good number of citations.
He has reviewed good number of research publications and very active reviewer for Renewable Energy, IET Communications, IET Renewable Power Generation, International Journal of Ambient Energy, Journal of Engineering, Journal of Power and Energy, Neuro Computing, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Electric Power Components and Systems, Computer Communication & Collaboration, Artificial Intelligence Review. He is very active in Professional societies, viz., IEEE, IEEE Power Energy Society, and IETE as a Life member.
He is having very good academic excellence and healthy relations with many academicians in the area of his expertise, “Power System Optimization”. Thereby, he has delivered lectures for B. Tech students and guest lectures to academic staff in private colleges. He is always keen to learn new subjects and attended workshops & seminars to update his knowledge.
Employment
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National Fire Service College, Ministry of Home Affairs, Government of India Assistant Professor (Group-A Gazetted)2018 - Present
Education
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National institute of technology hamirpur PhD scholar2013 - Present
Projects & Funding
Projects & funding information is unavailable.
Publications (12)
- Experimental investigations on fire characteristics of mineral transformer oil Save
- Optimal Scheduling of Hydrothermal Plant Using Particle Swarm Optimization Save
- Nondominated sorting-based disruption in oppositional gravitational search algorithm for stochastic multiobjective short-term hydrothermal scheduling Save
- Krill Herd Algorithm for Solution of Economic Dispatch with Valve-Point Loading Effect Save
- Performance Analysis of Classical Controllers Tuned Using Heuristic Approaches for Frequency Regulation Save
- Economic load dispatch in microgrids using real-coded genetic algorithm Save
- Optimization of hybrid off grid power system using HOMER software Save
- Performance analysis of transformer oil/paper insulation with ester and mixed dielectric fluids Save
- Colliding bodies optimization applied on IEEE-57 bus system for optimal power flow problem Save
- Investigation of PV balancer architectures on practical solar photo voltaic system Save
- Hybridized Gravitational Search Algorithm for Short-Term Hydrothermal Scheduling Save
- Disruption based gravitational search algorithm for short term hydrothermal scheduling Save