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K
Kiran Teeparthi
national institute of technology andhra pradesh
16
H-index
68
Paper Count
779
Citation Count
0
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Published Papers
24
Publication Date
Publication Date
Impact Factor
Citations
Load Frequency Regulation of Renewable-Integrated Power System Using Novel Fractional and Degree of Freedom-Based Controller with Real-Time Validation
Energies
IF
3.2
2026-09-11
0
OA
AI
Kona Amarendra; Kiran Teeparthi; Murali Sariki; Yellapragada Venkata Pavan Kumar; Vinod Kumar D.M.; Rammohan Mallipeddi
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Real-Time Residential Energy Optimization in Smart Grids: A Deep Reinforcement Learning Framework for Demand-Side Management
Energies
IF
3.2
2026-08-31
0
OA
AI
Chittemma Yerra; Kiran Teeparthi; Ramavathu Srinu Naik; Yellapragada Venkata Pavan Kumar; Rammohan Mallipeddi
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Quantifying the economic impact of net load forecasting uncertainties in a novel P2P energy trading framework
sustainable energy, grids and networks
IF
0
2026-04-20
0
PRE
AI
V.V.N Prasad Thota; Kiran Teeparthi; Sri Phani Krishna Karri
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Design of a Novel Cascaded Controller for Proactive Frequency Regulation in a Deregulated Microgrid-Integrated Power Systems with Real-Time Validation
Arabian Journal for Science and Engineering
IF
2.9
2025-12-12
0
PRE
AI
Kona Amarendra; Kiran Teeparthi
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Frequency regulation of hybrid two area power system with aggregated electric vehicle integration using a novel cascaded fractional-order two-degree controller
Energy Reports
IF
5.1
2025-11-22
0
OA
AI
Kona Amarendra; Kiran Teeparthi; S.N.V. Bramareswara Rao; Y.V. Pavan Kumar; Rammohan Mallipeddi
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A study on challenges and solutions in artificial intelligence-driven demand side optimization and security enhancement for smart grids
COMPUTERS & ELECTRICAL ENGINEERING
IF
4.9
2025-10-01
0
PRE
AI
Yerra, Chittemma; Teeparthi, Kiran; Ramavathu, Srinu Naik; Rao, S. N. V. Bramareswara; Kumar, Y. V. Pavan; Mallipeddi, Rammohan
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A novel hybrid framework based on decomposition and Y-former model for accurate wind speed forecasting
earth systems and environment
IF
2.9
2025-04-14
0
PRE
AI
Parri, Srihari; Teeparthi, Kiran; Kumar, D. M. Vinod
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Distribution system state estimation using physics-guided deep learning approach
ELECTRIC POWER SYSTEMS RESEARCH
IF
4.2
2024-11-01
1
PRE
AI
Raghuvamsi, Y.; Teeparthi, Kiran; Kumar, D. M. Vinod; Abdul, Imran; Parri, Srihari
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SVMD-TF-QS: An efficient and novel hybrid methodology for the wind speed prediction
EXPERT SYSTEMS WITH APPLICATIONS
IF
7.5
2024-09-01
4
PRE
AI
Parri, Srihari; Teeparthi, Kiran
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A hybrid wind speed prediction model using improved CEEMDAN and Autoformer model with auto-correlation mechanism
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
IF
7
2024-04-01
5
PRE
AI
Bommidi, Bala Saibabu; Teeparthi, Kiran
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A hybrid methodology using VMD and disentangled features for wind speed forecasting
ENERGY
IF
9.4
2024-02-01
10
PRE
AI
Parri, Srihari; Teeparthi, Kiran; Kosana, Vishalteja
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A hybrid VMD based contextual feature representation approach for wind speed forecasting
RENEWABLE ENERGY
IF
9.1
2023-12-01
5
PRE
AI
Parri, Srihari; Teeparthi, Kiran; Kosana, Vishalteja
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Denoising autoencoder based topology identification in distribution systems with missing measurements
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
IF
5
2023-12-01
3
OA
AI
Raghuvamsi, Y.; Teeparthi, Kiran; Kosana, Vishalteja
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A review on distribution system state estimation uncertainty issues using deep learning approaches
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
IF
16.3
2023-11-01
1
PRE
AI
Raghuvamsi, Y.; Teeparthi, Kiran
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Detection and reconstruction of measurements against false data injection and DoS attacks in distribution system state estimation: A deep learning approach
MEASUREMENT
IF
5.6
2023-03-01
16
PRE
AI
Raghuvamsi, Y.; Teeparthi, Kiran
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Hybrid wind speed forecasting using ICEEMDAN and transformer model with novel loss function
ENERGY
IF
9.4
2023-02-01
65
PRE
AI
Bommidi, Bala Saibabu; Teeparthi, Kiran; Kosana, Vishalteja
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A novel dynamic selection approach using on-policy SARSA algorithm for accurate wind speed prediction
ELECTRIC POWER SYSTEMS RESEARCH
IF
4.2
2022-11-01
4
PRE
AI
Kosana, Vishalteja; Santhosh, Madasthu; Teeparthi, Kiran; Kumar, Santosh
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A novel and hybrid framework based on generative adversarial network and temporal convolutional approach for wind speed prediction
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
IF
7
2022-10-01
14
PRE
AI
Kosana, Vishalteja; Teeparthi, Kiran; Madasthu, Santhosh
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A novel deep learning architecture for distribution system topology identification with missing PMU measurements
RESULTS IN ENGINEERING
IF
7.9
2022-09-01
5
PRE
AI
Raghuvamsi, Y.; Teeparthi, Kiran; Kosana, Vishalteja
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Hybrid wind speed prediction framework using data pre-processing strategy based autoencoder network
ELECTRIC POWER SYSTEMS RESEARCH
IF
4.2
2022-05-01
21
PRE
AI
Kosana, Vishalteja; Teeparthi, Kiran; Madasthu, Santhosh
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Research Directions
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Co-authors
Cooperation Journals
R
Rammohan Mallipeddi
H-index: 40 · Papers: 270
S
Santosh Kumar
H-index: 30 · Papers: 232
Y
Y. V. Pavan Kumar
H-index: 22 · Papers: 176
D
D. M. Vinod Kumar
H-index: 18 · Papers: 70
S
Sri Phani Krishna Karri
H-index: 13 · Papers: 63
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