Publications - 8Publications - 8
Publications - 8Personal profile
Ravi Yadav is a Assistant Professor at Indian Institute of Technology, Jodhpur. Dr. Ravi Yadav completed his M.tech and P.h.D degree from the electrical engineering department at IIT Kharagpur. His doctoral work, titled "Power system monitoring and analysis using synchrophasor data" was under the guidance of Prof. Ashok Kumar Pradhan, IIT Kharagpur. After doctorate, he worked as a subject matter expert (WAMS) and product owner at General Electric (GE) Hyderabad center, where he contributed towards both research and development of WAMS based analytics products. He received the GE-Impact Award and GE-Spotlight Awards for contributions to WAMS based analytics products. He has experience with industry-accepted WAMS and data exchange standards, signal processing algorithms, software development, microservices, database management, machine/deep learning tools, etc.
His current research interests include power system dynamics, wide-area measurement systems, dynamic interactions of large-scale renewable integration, anomaly detection, AI/ML applications to power system automation, and cyber-attack modeling and diagnosis.
Publications (8)View all
JournalPCA-LSTM Learning Networks With Markov Chain Models for Online Classification of Cyber-Induced Outages in Power System
2021 | Institute of Electrical and Electronics Engineers Inc.- JournalA Spectrum Similarity Approach for Identifying Coherency Change Patterns in Power System Due to Variability in Renewable Generation2019 | Institute of Electrical and Electronics Engineers Inc.
- JournalReal-Time Event Classification in Power System with Renewables Using Kernel Density Estimation and Deep Neural Network2019 | Institute of Electrical and Electronics Engineers Inc.
- JournalReal-Time Multiple Event Detection and Classification in Power System Using Signal Energy Transformations2019 | IEEE Computer Society
