Divya Rishi Shrivastava
Manipal University Jaipur, Jain College Belgaum, National Institute of Technology, Kamla Nehru Institute of Technology
About
Divya Rishi Shrivastava received Ph.D. degree in wide area monitoring, assessment and control of power system from Manipal University Jaipur, India , the M.Tech degree in power and energy systems engineering from NIT Silchar, India and B.Tech. degree in electrical engineering from Kamla Nehru Institute of Technology Sultanpur, India. He is currently working as Assistant Professor (Senior Scale) in Department of electrical engineering with the School of Electrical, Electronics and Communication, Manipal University Jaipur, India. His areas of research interests include non-linear dynamics & chaos and applications to power system operation and control, wide area monitoring and control in power system, applicationsof AI and ML. He is also IEEE member from 2015.
Employment
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Manipal University Jaipur Associate Professor2026 - Present
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Manipal University Jaipur Assistant Professor2015 - 2026
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Jain College Belgaum Assistant Professor2014 - 2015
Education
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National Institute of Technology M.Tech.2012 - 2014
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Kamla Nehru Institute of Technology B.Tech.2008 - 2012
Projects & Funding
Projects & funding information is unavailable.
Publications (24)
- A unified strategy for real-time event detection for enhanced power system protection through robust situational awareness Save
- A LEVERAGING COORDINATED PSS AND TCSC FACTS DEVICE-BASED METHOD FOR POWER SYSTEM OSCILLATION DAMPING Save
- A Novel Approach for Enhanced Real-Time Event Diagnosis for Grid Connected Microgrid with Multiple Distributed Energy Resources (DERs) Save
- A Novel Strategy for Real-Time Event Detection for Enhanced Power System Protection Through Robust Situational Awareness Save
- A novel synchronized data-driven composite scheme to enhance photovoltaic (pv) integrated power system grid stability Save
- Synchronized Data-driven Composite Scheme for Augmenting Power Grid Stability Save
- New Data Driven Scheme for Real-Time Power System Transient Stability Assessment Save
- Transient stability assessment of power system with solar PV energy penetration through DIgSILENT power factory and Python Save
- Microbial fuel Cell-based Co-generation system for bioethanol production and power management solution Save
- Enhanced Real-Time Power System Monitoring by Detecting Event Signature Save