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S

Srihari Parri

national institute of technology (nit system)

4H指数
8论文数
121被引数
收录论文 5
发表时间
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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
errearth systems and environment
IF2.9
err2025-04-14
err0
PREAI
errParri, Srihari; Teeparthi, Kiran; Kumar, D. M. Vinod
err分享
err收藏
Distribution system state estimation using physics-guided deep learning approach
errELECTRIC POWER SYSTEMS RESEARCH
IF4.2
err2024-11-01
err1
PREAI
errRaghuvamsi, Y.; Teeparthi, Kiran; Kumar, D. M. Vinod; Abdul, Imran; Parri, Srihari
err分享
err收藏
SVMD-TF-QS: An efficient and novel hybrid methodology for the wind speed prediction
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2024-09-01
err4
PREAI
errParri, Srihari; Teeparthi, Kiran
err分享
err收藏
A hybrid methodology using VMD and disentangled features for wind speed forecasting
errENERGY
IF9.4
err2024-02-01
err10
PREAI
errParri, Srihari; Teeparthi, Kiran; Kosana, Vishalteja
err分享
err收藏
A hybrid VMD based contextual feature representation approach for wind speed forecasting
errRENEWABLE ENERGY
IF9.1
err2023-12-01
err5
PREAI
errParri, Srihari; Teeparthi, Kiran; Kosana, Vishalteja
err分享
err收藏

研究方向

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合作学者
合作期刊
D
D. M. Vinod Kumar
H 指数: 18 · 论文数: 70
K
Kiran Teeparthi
H 指数: 16 · 论文数: 68
Y
Y. Raghuvamsi
H 指数: 6 · 论文数: 22
V
Vinod Kumar D.M.
H 指数: 2 · 论文数: 8
I
Imran Abdul
H 指数: 1 · 论文数: 3
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