Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Tushar Shikhola"'
Autor:
Karan Sareen, Bijaya Ketan Panigrahi, Tushar Shikhola, Ravi Nath Tripathi, Ashok Kumar Rajput
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 14, Pp 2751-2772 (2024)
Abstract It is tough and complex to forecast wind speed due to its intermittent and stochastic nature as well as sudden and abrupt variations in the wind speed. Further, it is required to handle the variety of scenarios e.g. cyber‐attacks, unexpect
Externí odkaz:
https://doaj.org/article/31f4bc31e6554d249112a22e10231d1f
Publikováno v:
Energy. 278:127799
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a703f78e0703f9a0934a77f9a3d6df52
https://doi.org/10.1016/j.energy.2023.127799
https://doi.org/10.1016/j.energy.2023.127799
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789819909681
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff35b1c00616558d11314e13daf783ad
https://doi.org/10.1007/978-981-99-0969-8_19
https://doi.org/10.1007/978-981-99-0969-8_19
Autor:
Rajneesh Sharma, Tushar Shikhola
Publikováno v:
SSRN Electronic Journal.
The rapid generation in the wind power is a result of extensive research which is centrally focused on environmental and productive advantages of wind power. A major requirement for this growth is efficient prediction of local wind speed, which provi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d189a84e7dfc423406cb6dea502056f
https://doi.org/10.2139/ssrn.3573458
https://doi.org/10.2139/ssrn.3573458
Publikováno v:
Journal of Wind Engineering and Industrial Aerodynamics. 206:104361
Renewable energy has taken a center stage in sustainable and environmentally safe power generation. In this work, a novel model free Reinforcement Learning based wind speed forecasting technique has been proposed. Our technique uses modified fuzzy Q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18bf77dd9dc1aeb87dbc4e01c9432468
https://doi.org/10.1016/j.jweia.2020.104361
https://doi.org/10.1016/j.jweia.2020.104361