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Forecasting the characteristics of renewable energy sources using machine learning techniques
Version 2 2024-06-03, 20:13
Version 1 2014-10-28, 10:14
conference contribution
posted on 2024-06-03, 20:13 authored by G Shafiullah, Aman Maung Than Oo, D Jarvis, S Ali, P WolfsForecasting the characteristics of renewable energy sources using machine learning techniques
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Pagination
1-1Location
Al-Ahsa, Saudi ArabiaStart date
2010-05-01End date
2010-05-02Language
engPublication classification
E1.1 Full written paper - refereedTitle of proceedings
IECHAR 2010 : Challenges, Technologies and Opportunities : Proceedings of the 2010 International Engineering Conference on Hot Arid RegionsEvent
International Engineering Conference on Hot Arid Regions (2010 : Al-Ahsa, Saudi Arabia)Publisher
King Faisal UniversityPlace of publication
Al-Ahsa, Saudi ArabiaUsage metrics
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No categories selectedKeywords
renewable energy sourcescharacteristicsforecastingmachine learning techniques090699 Electrical and Electronic Engineering not elsewhere classified090608 Renewable Power and Energy Systems Engineering (excl Solar Cells)090607 Power and Energy Systems Engineering (excl Renewable Power)850604 Energy Transmission and Distribution (excl. Hydrogen)
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