Assessing effects of exogenous assumptions in GHG emissions forecasts – a 2020 scenario study for Portugal using the Times energy technology model
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DOI: 10.1016/j.techfore.2014.09.016
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- Liao, Hua & Cai, Jia-Wei & Yang, Dong-Wei & Wei, Yi-Ming, 2016. "Why did the historical energy forecasting succeed or fail? A case study on IEA's projection," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 90-96.
- Vincenzo Bianco & Annalisa Marchitto & Federico Scarpa & Luca A. Tagliafico, 2020. "Forecasting Energy Consumption in the EU Residential Sector," IJERPH, MDPI, vol. 17(7), pages 1-15, March.
- Liu, Xi & Du, Huibin & Brown, Marilyn A. & Zuo, Jian & Zhang, Ning & Rong, Qian & Mao, Guozhu, 2018. "Low-carbon technology diffusion in the decarbonization of the power sector: Policy implications," Energy Policy, Elsevier, vol. 116(C), pages 344-356.
- Mauro, Caterina & Rentizelas, Athanasios A. & Chinese, Damiana, 2018. "International vs. domestic bioenergy supply chains for co-firing plants: The role of pre-treatment technologies," Renewable Energy, Elsevier, vol. 119(C), pages 712-730.
- Liobikienė, Genovaitė & Butkus, Mindaugas, 2017. "The European Union possibilities to achieve targets of Europe 2020 and Paris agreement climate policy," Renewable Energy, Elsevier, vol. 106(C), pages 298-309.
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Keywords
Uncertainty; Greenhouse gases forecasts; Policy scenarios; Climate policy; Energy policy;All these keywords.
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