RECENT SCHOLAR PUBLICATIONS
- Machine Learning-Based Prediction of Intergranular Corrosion Resistance in Austenitic Stainless Steels Exposed to Various Heat TreatmentsS Sheik, R Mohammed, K Teeparthi, Y RaghuvamsiJournal of The Institution of Engineers (India): Series D, 1-14 2024
- Distribution system state estimation with Transformer-Bi-LSTM-based imputation model for missing measurementsY Raghuvamsi, K TeeparthiNeural Computing and Applications 36 (3), 1295-1312 2024
- Denoising autoencoder based topology identification in distribution systems with missing measurementsY Raghuvamsi, K Teeparthi, V KosanaInternational Journal of Electrical Power & Energy Systems 154, 109464 2023
- Distribution System State Estimation with Convolutional Generative Adversarial Imputation Networks for Missing Measurement DataY Raghuvamsi, K TeeparthiArabian Journal for Science and Engineering, 1-16 2023
- A review on distribution system state estimation uncertainty issues using deep learning approachesY Raghuvamsi, K TeeparthiRenewable and Sustainable Energy Reviews 187, 113752 2023
- Temporal Convolutional Network-based Locational Detection of False Data Injection Attacks in Power System State EstimationY Raghuvamsi, VSN Kalyani, K Teeparthi, SN Geetha, Y Srimannarayana, ...2023 7th International Conference on Computer Applications in Electrical 2023
- Missing Data Imputation Using Transformer Model for Distribution System State EstimationY Raghuvamsi, K Teeparthi, S Batchu2023 23rd International Conference on Control, Automation and Systems (ICCAS 2023
- An Empirical Study on Missing Data Imputation Techniques for Transient Stability Assessment Using Four Sample Frequency Features Data setS Batchu, S Janapati, H Reddy, N Monish, Y Raghuvamsi, K Teeparthi2023 International Conference on Emerging Techniques in Computational 2023
- Detection and reconstruction of measurements against false data injection and DoS attacks in distribution system state estimation: A deep learning approachY Raghuvamsi, K TeeparthiMeasurement 210, 112565 2023
- Physics-guided Deep Learning for Branch Current Distribution System State EstimationY Raghuvamsi, S Batchu, K Teeparthi2022 22nd National Power Systems Conference (NPSC), 201-206 2022
- A Comparative Study on Equal Area Criterion Based Methods for Transient Stability Assessment in Power SystemsS Batchu, Y Raghuvamsi, K Teeparthi2022 22nd National Power Systems Conference (NPSC), 124-129 2022
- A novel deep learning architecture for distribution system topology identification with missing PMU measurementsY Raghuvamsi, K Teeparthi, V KosanaResults in Engineering 15, 100543 2022
- Power system state estimation and forecasting using cnn based hybrid deep learning modelsR Yarlagadda, V Kosana, K Teeparthi2021 IEEE International Conference on Technology, Research, and Innovation 2021
- An intelligent system design and analysis for transient stability assessment using four sample input feature vector approachS Batchu, R Yarlagadda, K Teeparthi2021 IEEE International Conference on Intelligent Systems, Smart and Green 2021
- Improvement of small signal stability of SMIB system using PSO and CSO based power system stabilizerY Raghuvamsi, MR RaoJ Eng Res Appl 5 (8), 77-83 2015
