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K. S. Kumar

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • eess.SP1
  • stat.AP1
same name
  • K. S. Kumar — 9 papers
  • K. S. Kumar — 5 papers, h 11
  • K. S. Kumar — 4 papers, h 8
  • K. S. Kumar — 2 papers, h 6
  • K. S. Kumar — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedWind speed forecast using random forest learning method

8 citations · 8 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG2022

A Wavelet, AR and SVM based hybrid method for short-term wind speed prediction

G. V. Drisya, K. Satheesh Kumar

Wind speed modelling and prediction has been gaining importance because of its significant roles in various stages of wind energy management. In this paper, we propose a hybrid mod…

stat.AP2022

Day-ahead prediction using time series partitioning with Auto-Regressive model

Dennis Cheruiyot Kiplangat, G. V. Drisya, K. Satheesh Kumar

Wind speed forecasting has received a lot of attention in the recent past from researchers due to its enormous benefits in the generation of wind power and distribution. The bigges…

cs.LG2022★ 8 cited

Wind speed forecast using random forest learning method

G. V. Drisya, Valsaraj P., K. Asokan +1

Wind speed forecasting models and their application to wind farm operations are attaining remarkable attention in the literature because of its benefits as a clean energy source. I…

eess.SP2018

Cross-location wind speed forecasting for wind energy applications using machine learning based models

Valsaraj Perumpalot, G. V. Drisya, K. Satheesh Kumar

The widespread utilisation of grid-integrated wind electricity necessitates accurate and reliable wind speed forecasting to ensure stable grid and quality power. Machine learning a…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.