Immediate Impact

59 standout
Sub-graph 1 of 25

Citing Papers

Evaluating Machine Learning and Deep Learning models for predicting Wind Turbine power output from environmental factors
2025 Standout
A short-term power prediction method based on numerical weather prediction correction and the fusion of adaptive spatiotemporal graph feature information for wind farm cluster
2025 Standout
5 intermediate papers

Works of Snehamoy Dhar being referenced

A multi-objective wind speed and wind power prediction interval forecasting using variational modes decomposition based Multi-kernel robust ridge regression
2019
An effective battery management scheme for wind energy systems using multi Kernel Ridge regression algorithm
2018

Author Peers

Author Last Decade Papers Cites
Snehamoy Dhar 520 683 108 29 774
Rob Hovsapian 372 431 159 44 882
Yu Wang 324 590 55 39 811
Faranak Golestaneh 334 812 99 16 976
Qian Zhang 397 611 90 51 885
Georgios Fotis 293 647 100 55 865
Bing Yan 274 603 85 36 884
Lars Henrik Hansen 440 721 113 26 920
Ibrahim Alhamrouni 321 551 79 48 723
Ehsan Akbari 366 608 113 41 818
Wei‐Jen Lee 302 571 42 28 655

All Works

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Rankless by CCL
2026