| Detection and reconstruction of measurements against false data injection and DoS attacks in distribution system state estimation: A deep learning approach Y Raghuvamsi, K Teeparthi Measurement 210, 112565, 2023 | 9 | 2023 |
| Power system state estimation and forecasting using cnn based hybrid deep learning models R Yarlagadda, V Kosana, K Teeparthi 2021 IEEE International Conference on Technology, Research, and Innovation …, 2021 | 5 | 2021 |
| A review on distribution system state estimation uncertainty issues using deep learning approaches Y Raghuvamsi, K Teeparthi Renewable and Sustainable Energy Reviews 187, 113752, 2023 | 3 | 2023 |
| A novel deep learning architecture for distribution system topology identification with missing PMU measurements Y Raghuvamsi, K Teeparthi, V Kosana Results in Engineering 15, 100543, 2022 | 3 | 2022 |
| Distribution system state estimation with Transformer-Bi-LSTM-based imputation model for missing measurements Y Raghuvamsi, K Teeparthi Neural Computing and Applications 36 (3), 1295-1312, 2024 | 2 | 2024 |
| Denoising autoencoder based topology identification in distribution systems with missing measurements Y Raghuvamsi, K Teeparthi, V Kosana International Journal of Electrical Power & Energy Systems 154, 109464, 2023 | 1 | 2023 |
| An intelligent system design and analysis for transient stability assessment using four sample input feature vector approach S Batchu, R Yarlagadda, K Teeparthi 2021 IEEE International Conference on Intelligent Systems, Smart and Green …, 2021 | 1 | 2021 |
| Improvement of small signal stability of SMIB system using PSO and CSO based power system stabilizer Y Raghuvamsi, MR Rao J Eng Res Appl 5 (8), 77-83, 2015 | 1 | 2015 |
| Machine Learning-Based Prediction of Intergranular Corrosion Resistance in Austenitic Stainless Steels Exposed to Various Heat Treatments S Sheik, R Mohammed, K Teeparthi, Y Raghuvamsi Journal of The Institution of Engineers (India): Series D, 1-14, 2024 | | 2024 |
| Distribution System State Estimation with Convolutional Generative Adversarial Imputation Networks for Missing Measurement Data Y Raghuvamsi, K Teeparthi Arabian Journal for Science and Engineering, 1-16, 2023 | | 2023 |
| Temporal Convolutional Network-based Locational Detection of False Data Injection Attacks in Power System State Estimation Y Raghuvamsi, VSN Kalyani, K Teeparthi, SN Geetha, Y Srimannarayana, ... 2023 7th International Conference on Computer Applications in Electrical …, 2023 | | 2023 |
| Missing Data Imputation Using Transformer Model for Distribution System State Estimation Y Raghuvamsi, K Teeparthi, S Batchu 2023 23rd International Conference on Control, Automation and Systems (ICCAS …, 2023 | | 2023 |
| An Empirical Study on Missing Data Imputation Techniques for Transient Stability Assessment Using Four Sample Frequency Features Data set S Batchu, S Janapati, H Reddy, N Monish, Y Raghuvamsi, K Teeparthi 2023 International Conference on Emerging Techniques in Computational …, 2023 | | 2023 |
| Physics-guided Deep Learning for Branch Current Distribution System State Estimation Y Raghuvamsi, S Batchu, K Teeparthi 2022 22nd National Power Systems Conference (NPSC), 201-206, 2022 | | 2022 |
| A Comparative Study on Equal Area Criterion Based Methods for Transient Stability Assessment in Power Systems S Batchu, Y Raghuvamsi, K Teeparthi 2022 22nd National Power Systems Conference (NPSC), 124-129, 2022 | | 2022 |
