Open AccessUsing XGBoost Model with Feature Selection Techniques for Wind Speed Forecasting
Author(s) -
Hamza Hanif,
Ahmer Shaheem Tahir,
Rimsha Sheikh,
Dania Anjum
Publication year - 2022
Publication title -
international journal of economic and environment geology
Language(s) - English
Resource type - Journals
ISSN - 2223-957X
DOI - 10.46660/ijeeg.vol12.iss4.2021.654
Subject(s) - renewable energy , wind power , fossil fuel , weir , government (linguistics) , global warming , environmental economics , environmental science , natural resource economics , computer science , climate change , business , engineering , economics , geography , waste management , cartography , geology , oceanography , electrical engineering , linguistics , philosophy
Renewable Energy Sources have a lot of importance in today’s world to produce an electrical output which explains the main reasons that every government and policy maker now a days prefer Renewable Energy in the wake of global warming and limited availability of fossil fuels (Twidell and Weir, 2021). The Renewable Energy Sources are hazardless, pollution free, ecofriendly, freely available in nature in vast quantities and most importantly, they give a chance to create a carbonfree environment.