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Dr. KIRAN  TEEPARTHI
Dr. KIRAN TEEPARTHI
National Institute of Technology Andhra Pradesh
Verified email at nitandhra.ac.in - Homepage
Title
Cited by
Cited by
Year
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
762017
Hybrid wind speed forecasting using ICEEMDAN and transformer model with novel loss function
BS Bommidi, K Teeparthi, V Kosana
Energy 265, 126383, 2023
512023
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
512018
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
202020
Grey wolf optimization algorithm based dynamic security constrained optimal power flow
K Teeparthi, DMV Kumar
2016 National Power Systems Conference (NPSC), 1-6, 2016
202016
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
172022
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
162022
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
142022
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
142022
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
132021
Dynamic Power System Security Analysis Using a Hybrid PSO-APO Algorithm.
K Teeparthi, DM Kumar
Engineering, Technology & Applied Science Research 7 (6), 2017
132017
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
92023
A preventive transient stability control strategy through individual machine equal area criterion framework
S Batchu, K Teeparthi
IEEE Access 9, 167776-167794, 2021
72021
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
62023
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
62022
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
52021
A hybrid methodology using VMD and disentangled features for wind speed forecasting
S Parri, K Teeparthi, V Kosana
Energy 288, 129824, 2024
42024
A hybrid approach to ultra short-term wind speed prediction using CEEMDAN and Informer
BS Bommidi, V Kosana, K Teeparthi, S Madasthu
2022 22nd National Power Systems Conference (NPSC), 207-212, 2022
42022
An improved artificial physics optimization algorithm approach for static power system security analysis
K Teeparthi, DMV Kumar
Journal of The Institution of Engineers (India): Series B 101 (4), 347-359, 2020
42020
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
32023
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