Investigation of Data Size Variability in Wind Speed Prediction Using AI Algorithms

Autor:	M. A. Ehsan, Timothy Oladunni, Amir Shahirinia, Nian Zhang
Rok vydání:	2020
Předmět:	0209 industrial biotechnology business.industry Deep learning Electric potential energy Global warming Fossil fuel 02 engineering and technology Convolutional neural network Automotive engineering Wind speed Renewable energy 020901 industrial engineering & automation Electricity generation Artificial Intelligence 0202 electrical engineering electronic engineering information engineering Environmental science 020201 artificial intelligence & image processing Artificial intelligence business Physics::Atmospheric and Oceanic Physics Software Information Systems
Zdroj:	Cybernetics and Systems. 52:105-126
ISSN:	1087-6553 0196-9722
DOI:	10.1080/01969722.2020.1827796
Popis:	Electricity generation from burning fossil fuel is one of the major contributors to global warming. Renewable energy sources are a viable alternative to produce electrical energy and to reduce the ...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c3838745efd6cec223f96ace851286ac https://doi.org/10.1080/01969722.2020.1827796 Zobrazit plný text záznamu