Anamika Yadav
Also known as: Anamika Jain
National Institute of Technology, Raipur
0000-0001-7396-8926
About
Dr. Anamika Yadav completed her Bachelor of Engineering in Electrical Engineering with Honours in 2002 from RGPV Bhopal/DAVV Indore and her Master of Technology with Honours in Integrated Power Systems in 2006 from Visvesvaraya National Institute of Technology, Nagpur, Maharashtra, India. She obtained her Ph.D. in Electrical Engineering in 2010, from National Institute of Technology Raipur as the research centre under CSVTU, Bhilai, Chhattisgarh, India. She began her professional career as a Graduate Engineer Trainee at Bharat Aluminium Company, Korba, Chhattisgarh, in December 2002 and worked there until August 2003. She later served as an Assistant Engineer at Chhattisgarh State Power Generation Company Limited, Raipur, from 2004 to 2009. She is currently a Professor in the Department of Electrical Engineering and is also serving as Associate Dean (Academics – PG & PhD) at the National Institute of Technology Raipur. She served as Head of the Department of Electrical Engineering from January 2023 to April 2025. She also served as Associate Dean (Research and Consultancy) from July 2018 to January 2023. She has more than 16 years of teaching and research experience and five years of industrial experience. She is a Senior Member of IEEE and has been serving as Vice Chair of the IEEE Industrial Electronics Society since 2026 and as Vice Chair of the IEEE Power Electronics Society Chapter, MP Section, from 2022 to 2025. She has been serving as an Editor of IEEE Transactions on Power Delivery since 2021, Electric Power Systems Research (Elsevier) since 2025, Electrical Engineering (Springer) since 2024, and International Transactions on Electrical Energy Systems (Wiley) since 2025. She has been listed among the “Top 2% of Scientists in the World” for four consecutive years from 2021 to 2024, as released by Stanford University, USA, and published by Elsevier. She has received several honours, including the Best Researcher Award 2023 from NIT Raipur, Institution of Engineers (India) Young Engineers Award (2015–16) and the Chhattisgarh Young Engineers Award (2016). She holds two granted Indian patents titled “Method for Locating Faults at Single Location or Multiple Locations in Power Transmission Lines” and “Artificial Intelligence-Based Load Forecasting Models for Load Dispatch Centers in India.” Her research interests include power system protection, load forecasting, artificial intelligence and machine learning applications in power systems, power electronics, HVDC, microgrids, protection of FACTS-compensated transmission lines, cable fault detection, FACTS, smart grids, and power quality.
Employment
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National Institute of Technology, Raipur Professor and HoD2009 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (225)
- A hybrid deep learning and adaptive residual framework for accurate solar power forecasting and PV system reliability enhancement Save
- A Load Forecasting Using Anomaly Detection and CatBoost Model for Regional Grid of India Save
- AI-Driven Protection Scheme for High-Voltage Series-Compensated Dual-Circuit Transmission Lines Save
- Deep Learning-Based Partial Discharge Detection and Classification in Synchronous Generators Save
- Detection of Cyber-Attacks in Digital Power Systems Using Ensemble Boosting Algorithms Save
- Intelligent Fuzzy Approach for Fault Detection and Classification in Solar PV Integrated Transmission Networks with UPFC Save
- Comparative deep learning approaches for insulator condition monitoring in power transmission line Save
- An Intelligent Method for Fault Detection and Faulty String-Level Localization of Line-to-Line and Line-to-Ground Faults in Photovoltaic System Save
- Solar Power Forecasting for Existing Solar Power Plants of Chhattisgarh Region Using Extreme Gradient Boosting Algorithm Save
- Load demand forecasting of chhattisgarh state for demand management system with optimal feature selection using XGBOOST approach Save