المؤلفون: Rahaman Abu, John Amakor, Rasaq Kazeem, Temilola Olugasa, Olusegun Ajide, Nosa Idusuyi, Tien-Chien Jen, Esther Akinlabi

المصدر: AIMS Energy, Vol 12, Iss 1, Pp 256-270 (2024)

مصطلحات موضوعية: ann, weather variable, mlr, energy consumption, svr, Production of electric energy or power. Powerplants. Central stations, TK1001-1841, Renewable energy sources, TJ807-830

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2333-8334Test

الوصول الحر: https://doaj.org/article/38080c85d9d34fcfad80470bf58592d4Test

المؤلفون: Hyojeoung Kim, Sujin Park, Hee-Jun Park, Heung-Gu Son, Sahm Kim

المصدر: IEEE Access, Vol 11, Pp 13492-13500 (2023)

مصطلحات موضوعية: Solar radiation forecasting, weather variable, categorical boosting (CatBoost), convolutional neural network (CNN), hybrid model (CNN-CatBoost), Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/10040681Test/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/bedd7944348544bbaba88c87c860b5b2Test

المؤلفون: Haobo Li, Suelynn Choy, Safoora Zaminpardaz, Brett Carter, Chayn Sun, Smrati Purwar, Hong Liang, Linqi Li, Xiaoming Wang

المصدر: Atmosphere; Volume 14; Issue 3; Pages: 571

مصطلحات موضوعية: heavy precipitation, weather variable, GNSS atmospheric sounding, principal component analysis, correlation analysis

جغرافية الموضوع: agris

وصف الملف: application/pdf

العلاقة: Atmospheric Techniques, Instruments, and Modeling; https://dx.doi.org/10.3390/atmos14030571Test

الإتاحة: https://doi.org/10.3390/atmos14030571Test

المؤلفون: SHREYA GUPTA, ANANTA VASHISTH, P. KRISHNAN, ACHAL LAMA, SHIV PRASAD, ARAVIND K. S.

المصدر: Journal of Agrometeorology, Vol 24, Iss 4 (2022)

مصطلحات موضوعية: Weather variable, Hybrid machine learning model, Support vector regression, Least absolute shrinkage and selection operator, Stepwise multi linear regression, Yield prediction, Agriculture

وصف الملف: electronic resource

العلاقة: https://journal.agrimetassociation.org/index.php/jam/article/view/1835Test; https://doaj.org/toc/0972-1665Test; https://doaj.org/toc/2583-2980Test

الوصول الحر: https://doaj.org/article/713271119e0841059de6567b36114d20Test

المؤلفون: David Kamei, Archana U Singh

المصدر: International Journal of Environmental & Agriculture Research 7(10) 01-06

مصطلحات موضوعية: Brown spot, Helminthosporium oryzae, Prediction model, weather variable, disease index, correlation, coefficient, agriculture

العلاقة: https://zenodo.org/record/5624332Test; https://doi.org/10.5281/zenodo.5624332Test; oai:zenodo.org:5624332

الإتاحة: https://doi.org/10.5281/zenodo.5624332Test
https://doi.org/10.5281/zenodo.5624331Test
https://zenodo.org/record/5624332Test

المؤلفون: Jae-Young Choi, Sang-Hoon Byeon

المصدر: International Journal of Environmental Research and Public Health; Volume 17; Issue 8; Pages: 2849

مصطلحات موضوعية: safety distance, QRA, weather variable, ethylene, thermal radiation

جغرافية الموضوع: agris

وصف الملف: application/pdf

العلاقة: Environmental Health; https://dx.doi.org/10.3390/ijerph17082849Test

الإتاحة: https://doi.org/10.3390/ijerph17082849Test

المؤلفون: P B Pantawane, H Dhanze, M R Verma, G Singh, A Kapdi, J Chauhan, K N Bhilegaonkar

المصدر: Journal of Vector Borne Diseases, Vol 54, Iss 3, Pp 270-276 (2017)

مصطلحات موضوعية: Japanese encephalitis, mosquito, Uttar Pradesh, weather variable, Infectious and parasitic diseases, RC109-216

وصف الملف: electronic resource

العلاقة: http://www.jvbd.org/article.asp?issn=0972-9062;year=2017;volume=54;issue=3;spage=270;epage=276;aulast=PantawaneTest; https://doaj.org/toc/0972-9062Test

الوصول الحر: https://doaj.org/article/56e60ca96a4443e890a79f013c23e896Test

المؤلفون: Mingzhe Zou, Ninoslav Holjevac, Josip Dakovic, Igor Kuzle, Roberto Langella, Vincenzo Di Giorgio, Sasa Z. Djokic

المساهمون: Zou, M., Holjevac, N., Dakovic, J., Kuzle, I., Langella, R., Di Giorgio, V., Djokic, S. Z.

المصدر: IEEE Transactions on Sustainable Energy. 13:1169-1187

مصطلحات موضوعية: Wind forecasting, Renewable Energy, Sustainability and the Environment, wind farm, Uncertainty, convolutional neural network, deep learning, forecasting, wind turbine, Bayes method, Bayesian framework, Copula model, Predictive model, wind energy, weather variable, Bayesian framework , convolutional neural network , Copula model , deep learning , forecasting , weather variables , wind energy , wind farm , wind turbine, Physics::Atmospheric and Oceanic Physics, Probabilistic logic

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cf0ec667302eff492e059df719c15f9Test
https://doi.org/10.1109/tste.2022.3148718Test

المؤلفون: Pelosi, A.

المساهمون: Pelosi, A.

مصطلحات موضوعية: Reanalysis data, ERA5, ERA5-Land, Weather variable, FAO Penman-Monteith reference evapotrans-, piration, Mediterranean climate

العلاقة: info:eu-repo/semantics/altIdentifier/wos/WOS:001092454000001; volume:289; firstpage:1; lastpage:12; numberofpages:12; journal:AGRICULTURAL WATER MANAGEMENT; https://hdl.handle.net/11386/4855137Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85174695573; https://doi.org/10.1016/j.agwat.2023.108556Test

الإتاحة: https://doi.org/10.1016/j.agwat.2023.108556Test
https://hdl.handle.net/11386/4855137Test

المؤلفون: Kumar, M¹, Balamohan, TN¹, Jeyakumar, P², Seenivasan, N³

المصدر: International Journal of Farm Sciences 5(4):229-235. 2015