Specialization

Power Systems

Email

skaggarwal@thapar.edu

Biography

Dr. S. K. Agarwal is currently Associate Professor in the Electrical and Instrumentation Engineering Department, Thapar Institute of Engineering & Technology, Patiala. Dr. Agarwal obtained his MTech in 2004 and PhD in 2010 from NIT, Kurukshetra. He has more than ninteen years of teaching experience and five years of industrial experience with NTPC. His current area of research interest includes power system operation and planning, forecasting issues in power systems, renewable energy systems, engineering optimization and soft computing.

Research Projects

1. “Smart demand response framework for load optimization in an electrical grid” from Haryana State Council (DST) (Ongoing)
2. “Impact analysis of renewable energy sources on power system and energy market operations” from Thapar Institute of Engineering & Technology (Ongoing)

Membership of Professional Institutions, Associations, Societies

1. Member – IEEE
2. Corporate Memebr – IE (India)

Publications and other Research Outputs

SCI: 6 + 1 (Accepted); Non-SCI: 12

Awards and Honours

1. Highly commended research paper” award from Emerald Literati Network for year 2009 for Research Paper in International Journal of Energy Sector Management.
2. Best Paper Award” in the National Conference on RAEPESM-2011 organized at Madan Mohan Malviya Engineering College, Gorakhpur.
3. Participated in the following machine learning competitions with good rankings:
   • AMS 2013-14 Solar Energy Prediction Contest (51st Rank)
   • Global Energy Forecasting Competition 2014 (8th Rank)
   • EEM2016 Real time energy price forecasting competition (3rd Rank)

 Description of Research Interests

Power system operation and planning, forecasting issues in power systems, renewable energy systems, engineering optimization and soft computing.

Publications:

• Saroha, K. K. Aggarwal, "Wind power forecasting using wavelet transforms and neural networks with tapped delay," CSEE J. Power Energy Syst., vol. 4, no. 2, pp. 197-209, 2018.
• Jood, S. K. Aggarwal, V. Chopra, "Performance assessment of a neuro-fuzzy load frequency controller in the presence of system non-linearities and renewable penetration," Comput. Electr. Eng., vol. 74, pp. 362-378, 2019.
• Saroha, S. K. Aggarwal, "Wind Power Forecasting Using Wavelet Transform and General Regression Neural Network for Ontario Electricity Market," Recent Adv. Electr. Electron. Eng., vol. 13, no. 1, pp. 16-26, 2020.
• Jood, S. K. Aggarwal, and V. Chopra, "Adaptive Neuro-Fuzzy Based Load Frequency Control in Presence of Energy Storage Devices," Intell. Autom. Soft Comput., vol. 34, no. 2, pp. 785-804, 2022.
• Rani, S. K. Aggarwal, S. Kumar, "Combining varying training data-based artificial intelligence models for energy price forecasting," J. Chin. Inst. Eng., vol. 46, no. 7, pp. 766-780, 2023.
• K. Aggarwal, L. M. Saini, V. Sood, "Large wind farm layout optimization using nature inspired meta-heuristic algorithms," IETE J. Res., vol. 69, no. 5, pp. 2683-2700, 2023.

Sponsored Project

• “Impact analysis of renewable energy sources on power system and energy market operations”, Supervised by (PI/CoPI), received Grant of amount pf Rs 4.90 lacs by TIET, Patiala Office Order Ref. No. TU/DORSP/57/529, Dated 04/04/2017 for the duration of 2017 to 2019.
•  "Smart Demand-Response Framework for load optimization in an Electrical Grid”, Supervised by (PI/CoPI), received Grant amount of Rs 7.28 lacs by Haryana State Council for Science and Technology (HSCST) for duration of 2017 to 2019