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K
Kiran Teeparthi
national institute of technology andhra pradesh
16
H指数
68
论文数
779
被引数
0
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24
发表时间
发表时间
IF
被引数
Load Frequency Regulation of Renewable-Integrated Power System Using Novel Fractional and Degree of Freedom-Based Controller with Real-Time Validation
基于新型分数阶和自由度控制器的可再生能源集成电力系统负荷频率调节及实时验证
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
智能电网中实时住宅能源优化:面向需求侧管理的深度强化学习框架
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
量化新型点对点能源交易框架中净负荷预测不确定性的经济影响
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
一种面向解除管制微电网集成电力系统主动频率调节的新型级联控制器设计与实时验证
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
含聚合电动汽车集成的混合两区域电力系统频率调节的基于新型级联分数阶两自由度控制器的实现
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
一种基于分解和Y-former模型的新型混合框架,用于精确的风速预测
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
基于具有新型损失函数的ICEEMDAN和transformer模型的混合风速预测
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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研究方向
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合作学者
合作期刊
R
Rammohan Mallipeddi
H 指数: 40 · 论文数: 270
S
Santosh Kumar
H 指数: 30 · 论文数: 232
Y
Y. V. Pavan Kumar
H 指数: 22 · 论文数: 176
D
D. M. Vinod Kumar
H 指数: 18 · 论文数: 70
S
Sri Phani Krishna Karri
H 指数: 13 · 论文数: 63
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