Quantifying the credibility of energy projections from trends in past data : The US energy sector
- Shlyakhter, Alexander I.
- Kammen, Daniel M.
- Broido, Claire L.
- Wilson, Richard
No abstract is available for this item.
- Laitner, J. A. & DeCanio, S. J. & Koomey, J. G. & Sanstad, A. H., 2003. "Room for improvement: increasing the value of energy modeling for policy analysis," Utilities Policy, Elsevier, vol. 11(2), pages 87-94, June.
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- Farmer, J. Doyne & Lafond, François, 2016.
"How predictable is technological progress?,"
Elsevier, vol. 45(3), pages 647-665.
- J. Doyne Farmer & Francois Lafond, 2015. "How predictable is technological progress?," Papers 1502.05274, arXiv.org, revised Nov 2015.
- repec:eee:reensy:v:93:y:2008:i:5:p:711-721 is not listed on IDEAS
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- Fischer, Carolyn & Herrnstadt, Evan & Morgenstern, Richard D., 2008. "Understanding Errors in EIA Projections of Energy Demand," Discussion Papers dp-08-54, Resources For the Future.
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- Bistline, John E., 2015. "Electric sector capacity planning under uncertainty: Climate policy and natural gas in the US," Energy Economics, Elsevier, vol. 51(C), pages 236-251.
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- Sanders, Dwight R. & Manfredo, Mark R. & Boris, Keith, 2009. "Evaluating information in multiple horizon forecasts: The DOE's energy price forecasts," Energy Economics, Elsevier, vol. 31(2), pages 189-196.
- Auffhammer, Maximilian, 2005. "The Rationality of EIA Forecasts under Symmetric and Asymmetric Loss," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2ts415ts, Department of Agricultural & Resource Economics, UC Berkeley.
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