Zobrazeno 1 - 10
of 545
pro vyhledávání: '"Weather variables"'
Publikováno v:
Journal of Agrometeorology, Vol 26, Iss 4 (2024)
Externí odkaz:
https://doaj.org/article/c3d43c321d4f43a495754328e9a43e28
Publikováno v:
Agricultural and Food Science (2024)
The contents of T-2 and HT-2 toxins (T2+HT2) were analysed in 677 samples of oats delivered to silos in Sweden during the years 2020–2022. The spatial and temporal variation patterns in the prevalence of elevated T2+HT2 contents were explored and t
Externí odkaz:
https://doaj.org/article/6738195e4bcf4c099a21ce1ba45e6237
Publikováno v:
In Renewable Energy November 2024 235
Publikováno v:
In Journal of Hydrology November 2024 644
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 4111-4121 (2023)
This study forecasts electricity consumption in a smart grid environment. We present a bottom-up prediction method using a combination of forecasting values based on time-series clustering using advanced metering infrastructure (AMI) data, one of the
Externí odkaz:
https://doaj.org/article/5a22757c87324df78422d90be7408f32
Publikováno v:
Atmosphere, Vol 15, Iss 11, p 1271 (2024)
The proliferation of pollutants affects the world’s population, mainly those who live in large cities. Neurological and cardiovascular dysfunctions have a correlation with air particulate matter concentration, among other chronic diseases. Therefor
Externí odkaz:
https://doaj.org/article/40817dca5b0a43cb80363c9ff9891256
Publikováno v:
In Energy Reports December 2023 9:4111-4121
Autor:
Eslahi, Mohammadehsan ⁎, Mazza, Paolo
Publikováno v:
In Ecological Economics December 2023 214
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5769 (2024)
Several sectors, such as agriculture and renewable energy systems, rely heavily on weather variables that are characterized by intermittent patterns. Many studies use regression and deep learning methods for weather forecasting to deal with this vari
Externí odkaz:
https://doaj.org/article/8ecf9672abb140b68d6158e9c099b935