Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms
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Title
Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms
Authors
Keywords
Transportation sector, Carbon footprints, Energy demand, GHG emissions, CO, 2, emissions
Journal
Sustainable Production and Consumption
Volume 29, Issue -, Pages 141-157
Publisher
Elsevier BV
Online
2021-10-08
DOI
10.1016/j.spc.2021.10.001
References
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- Turkey’s energy transition from fossil-based to renewable up to 2030: milestones, challenges and opportunities
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- (2020) Tuğba Doğan Güzel et al. Atmospheric Pollution Research
- The relationship between air pollution and COVID-19-related deaths: An application to three French cities
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- Swarm intelligence approaches to estimate electricity energy demand in Turkey
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- (2008) Alper Ünler ENERGY POLICY
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