| Hybrid wind speed forecasting using ICEEMDAN and transformer model with novel loss function BS Bommidi, K Teeparthi, V Kosana Energy 265, 126383, 2023 | 89 | 2023 |
| Multi-objective hybrid PSO-APO algorithm based security constrained optimal power flow with wind and thermal generators K Teeparthi, DMV Kumar Engineering Science and Technology, an International Journal 20 (2), 411-426, 2017 | 86 | 2017 |
| Security-constrained optimal power flow with wind and thermal power generators using fuzzy adaptive artificial physics optimization algorithm K Teeparthi, DM Vinod Kumar Neural Computing and Applications 29, 855-871, 2018 | 60 | 2018 |
| Power system security assessment and enhancement: a bibliographical survey K Teeparthi, DM Vinod Kumar Journal of The Institution of Engineers (India): Series B 101, 163-176, 2020 | 28 | 2020 |
| 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 | 25 | 2023 |
| Grey wolf optimization algorithm based dynamic security constrained optimal power flow K Teeparthi, DMV Kumar 2016 National Power Systems Conference (NPSC), 1-6, 2016 | 25 | 2016 |
| A novel reinforced online model selection using Q-learning technique for wind speed prediction V Kosana, K Teeparthi, S Madasthu, S Kumar Sustainable Energy Technologies and Assessments 49, 101780, 2022 | 24 | 2022 |
| A novel and hybrid framework based on generative adversarial network and temporal convolutional approach for wind speed prediction V Kosana, K Teeparthi, S Madasthu Sustainable Energy Technologies and Assessments 53, 102467, 2022 | 23 | 2022 |
| A hybrid methodology using VMD and disentangled features for wind speed forecasting S Parri, K Teeparthi, V Kosana Energy 288, 129824, 2024 | 21 | 2024 |
| Hybrid wind speed prediction framework using data pre-processing strategy based autoencoder network V Kosana, K Teeparthi, S Madasthu Electric Power Systems Research 206, 107821, 2022 | 20 | 2022 |
| Hybrid convolutional Bi-LSTM autoencoder framework for short-term wind speed prediction V Kosana, K Teeparthi, S Madasthu Neural Computing and Applications 34 (15), 12653-12662, 2022 | 17 | 2022 |
| A novel hybrid framework for wind speed forecasting using autoencoder‐based convolutional long short‐term memory network V Kosana, S Madasthu, K Teeparthi International Transactions on Electrical Energy Systems 31 (11), e13072, 2021 | 16 | 2021 |
| A hybrid VMD based contextual feature representation approach for wind speed forecasting S Parri, K Teeparthi, V Kosana Renewable Energy 219, 119391, 2023 | 14 | 2023 |
| Dynamic Power System Security Analysis Using a Hybrid PSO-APO Algorithm. K Teeparthi, DM Kumar Engineering, Technology & Applied Science Research 7 (6), 2017 | 13 | 2017 |
| 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 | 11 | 2021 |
| VMD-SCINet: a hybrid model for improved wind speed forecasting S Parri, K Teeparthi Earth Science Informatics 17 (1), 329-350, 2024 | 9 | 2024 |
| Hybrid attention-based temporal convolutional bidirectional LSTM approach for wind speed interval prediction BS Bommidi, V Kosana, K Teeparthi, S Madasthu Environmental Science and Pollution Research 30 (14), 40018-40030, 2023 | 9 | 2023 |
| A hybrid wind speed prediction model using improved CEEMDAN and Autoformer model with auto-correlation mechanism BS Bommidi, K Teeparthi Sustainable Energy Technologies and Assessments 64, 103687, 2024 | 8 | 2024 |
| 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 | 8 | 2023 |
| Transient stability enhancement through individual machine equal area criterion framework using an optimal power flow S Batchu, K Teeparthi IEEE Access 10, 49433-49444, 2022 | 8 | 2022 |
Vishalteja KosanaUG Student at National Institute of Technology Andhra PradeshПотвърден имейл адрес: student.nitandhra.ac.in
