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pro vyhledávání: '"Drisya, G. V."'
Autor:
Drisya, G. V., Kumar, K. Satheesh
Publikováno v:
Indian Journal of Scientific Research (http://www.ijsr.in/issue.php?id=TDRmQ2lwbnh0UE5hTzMrdjhvYmRWdz09), 2018
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 model, based on wavelet transform to improve the accuracy of the short-te
Externí odkaz:
http://arxiv.org/abs/2203.15298
Autor:
Drisya, G V, Thumba, Alex
Modelling the intermittency of wind speed has got significant relevance on many fields, including wind power generation and distribution. Most of the available modelling techniques assume the temporal fluctuations in the wind is stochastic in nature
Externí odkaz:
http://arxiv.org/abs/2204.07068
Publikováno v:
International Journal on Computer Science and Engineering (IJCSE), http://www.enggjournals.com/ijcse/, 2017
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. In this paper, we suggested the time series machine learning approach c
Externí odkaz:
http://arxiv.org/abs/2203.14909
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 biggest challenge still remains to be accurate prediction of wind speeds for
Externí odkaz:
http://arxiv.org/abs/2203.14910
The widespread utilisation of grid-integrated wind electricity necessitates accurate and reliable wind speed forecasting to ensure stable grid and quality power. Machine learning algorithm based wind speed forecasting models are getting increased att
Externí odkaz:
http://arxiv.org/abs/1808.03480
Autor:
Drisya, G. V.1, Kiplangat, D. C.1,2, Asokan, K.3, Kumar, K. Satheesh1 kskumar@keralauniversity.ac.in
Publikováno v:
Annales Geophysicae (ANGEO) (09927689). 2014, Vol. 32 Issue 11, p1415-1425. 11p.
Akademický článek
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Autor:
Drisya, G. V., Kumar, K. Satheesh
Publikováno v:
2015 IEEE Recent Advances in Intelligent Computational Systems (RAICS); 2015, p306-311, 6p