Kiran Teeparthi
National Institute of Technology Andhra Pradesh, National Institute of Technology Warangal
About
Kiran Teeparthi was born in Andhra Pradesh, India. He received his B.E. degree in Electrical and Electronics Engineering from Andhra University, India and his M.Tech. degree in Power Systems from the National Institute of Technology Jamshedpur, India. He received Ph.D. degree in Electrical Engineering from National Institute of Technology Warangal, India. Since 2019, he has been an Assistant Professor with the Electrical Engineering Department, NIT Andhra Pradesh. His current research interests include Power System Security and Stability, Power System Operation and Control, Renewable Energy integration issues, Power System Optimization, and Artificial Intelligence (AI) applications to Power Systems.
Employment
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National Institute of Technology Andhra Pradesh2019 - Present
Education
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National Institute of Technology Warangal Ph.D2014 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (66)
- Load Frequency Regulation of Renewable-Integrated Power System Using Novel Fractional and Degree of Freedom-Based Controller with Real-Time Validation Save
- Real-Time Residential Energy Optimization in Smart Grids: A Deep Reinforcement Learning Framework for Demand-Side Management Save
- A study on challenges and solutions in artificial intelligence-driven demand side optimization and security enhancement for smart grids Save
- Design of a Novel Cascaded Controller for Proactive Frequency Regulation in a Deregulated Microgrid-Integrated Power Systems with Real-Time Validation Save
- Impact Analysis of Zero-Sum False Data Injection Attacks on Peer-to-Peer Energy Trading Save
- Transient Response Analysis in IBR-Dominated Power Systems Based on Short Circuit Ratio Save
- Frequency regulation of hybrid two area power system with aggregated electric vehicle integration using a novel cascaded fractional-order two-degree controller Save
- A novel hybrid framework based on decomposition and Y-former model for accurate wind speed forecasting Save
- Frequency Regulation Using Advanced Fractional Order-Based Controller in Interconnected Power Systems Involving EV Aggregator Save
- Optimized scheduling of residential appliances in smart homes for cost reduction and user comfort enhancement with peak-to-average ratio constraints and tariff schemes Save