Zobrazeno 1 - 10
of 385
pro vyhledávání: '"Forecast models"'
Autor:
Nivethitha Somu, Anupama Kowli
Publikováno v:
Energy and Built Environment, Vol 5, Iss 3, Pp 480-491 (2024)
With the existence of several conventional and advanced building thermal energy demand forecast models to improve the energy efficiency of buildings, it is hard to find an appropriate, convenient, and efficient model. Evaluations based on statistical
Externí odkaz:
https://doaj.org/article/3078f1cff1a444388cc91e909dc6a737
Autor:
Massimo Bonavita
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 12, Pp n/a-n/a (2024)
Abstract Machine Learning (ML) is having a profound impact in the domain of Weather and Climate Prediction. A recent development in this area has been the emergence of fully data‐driven ML prediction models which routinely claim superior performanc
Externí odkaz:
https://doaj.org/article/6a3bd5d21d574d65a0bc0c3d9d10999d
Autor:
Maria F. Aristizábal Vargas, Hyun-Sook Kim, Matthieu Le Hénaff, Travis Miles, Scott Glenn, Gustavo Goni
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
In August 2019 Hurricane Dorian traveled through the Caribbean Sea and Tropical Atlantic before devastating the Bahamas. The operational hurricane forecasting models under-predicted the intensity evolution of Dorian prior to the storm reaching its ma
Externí odkaz:
https://doaj.org/article/4770bc46e3c24942bc6d459fc63c4694
Publikováno v:
Journal of Information Technology Management, Vol 15, Iss 2, Pp 1-13 (2023)
The article is devoted to the modern development of high technologies and computer technology greatly enhanced the development of automated banking systems of banking sector organizations and allowed the synthesis of information and communication tec
Externí odkaz:
https://doaj.org/article/03af050cb4764af7ae909354358008af
Autor:
Massimo Conforti, Fabio Ietto
Publikováno v:
Applied Sciences, Vol 14, Iss 1, p 240 (2023)
Gully erosion poses severe problems for land degradation in several areas worldwide. This study aims to evaluate the accuracy and robustness of the maximum entropy (MaxEnt) method for assessing gully erosion susceptibility. We selected the catchment
Externí odkaz:
https://doaj.org/article/4ddaa85de8cd451c8978771f28331485
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
International Journal of Business and Economic Sciences Applied Research (IJBESAR). 15(3):69-92
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1108938
Publikováno v:
IEEE Access, Vol 10, Pp 667-688 (2022)
Global climatic changes and increased carbon footprints provided the main impetus for the decrease in the use of fossil fuels for electricity generation and transportation. Matured manufacturing technologies of solar PV panels and on-shore and off-sh
Externí odkaz:
https://doaj.org/article/fa9b4b43743441bca9173771210baf5e
Publikováno v:
Smart Agricultural Technology, Vol 3, Iss , Pp 100076- (2023)
Discriminant function analysis has been used for forecasting of Sugarcane yield of Coimbatore district in Tamilnadu. Crop yield has been classified into two and three groups. Using this crop yield and monthly data on weather variables,discriminant fu
Externí odkaz:
https://doaj.org/article/69e0575ad1a84a4e82fddede6d050b9b