Why did the historical energy forecasting succeed or fail? A case study on IEA's projection. Liao, H., Cai, J., Yang, D., & Wei, Y. Technological Forecasting and Social Change. ![Why did the historical energy forecasting succeed or fail? A case study on IEA's projection [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Medium-to-long term energy prediction plays a widely-acknowledged role in guiding national energy strategy and policy but could also lead to serious economic and social chaos when poorly executed. A consequent issue may be the effectiveness of these predictions, and sources that errors can be traced back to. The International Energy Agency (IEA) has published its annual World Energy Outlook (WEO) concerning energy demand based on its long term world energy model (WEM) under specific assumptions towards uncertainties such as population, macroeconomy, energy price and technology. Unfortunately, some of its predictions succeeded while others failed. We in this paper attempt to decompose the leading source of these errors quantitatively. Results suggest that GDP acts as the leading source of demand forecasting errors while fuel price comes thereafter, which requires extra attention in forecasting. Gas, among all fuel types witness the most biased projections. Ignoring the catch-up effect of acquiring rapid economic growth in developing countries such as China will lead to huge mistake in predicting global energy demand. Finally, asymmetric cost of under- and over-estimation of GDP suggests a potentially less conservative stance in the future.
@article{liao_why_????,
title = {Why did the historical energy forecasting succeed or fail? {A} case study on {IEA}'s projection},
issn = {0040-1625},
shorttitle = {Why did the historical energy forecasting succeed or fail?},
url = {http://www.sciencedirect.com/science/article/pii/S0040162516300154},
doi = {10.1016/j.techfore.2016.03.026},
abstract = {Medium-to-long term energy prediction plays a widely-acknowledged role in guiding national energy strategy and policy but could also lead to serious economic and social chaos when poorly executed. A consequent issue may be the effectiveness of these predictions, and sources that errors can be traced back to. The International Energy Agency (IEA) has published its annual World Energy Outlook (WEO) concerning energy demand based on its long term world energy model (WEM) under specific assumptions towards uncertainties such as population, macroeconomy, energy price and technology. Unfortunately, some of its predictions succeeded while others failed. We in this paper attempt to decompose the leading source of these errors quantitatively. Results suggest that GDP acts as the leading source of demand forecasting errors while fuel price comes thereafter, which requires extra attention in forecasting. Gas, among all fuel types witness the most biased projections. Ignoring the catch-up effect of acquiring rapid economic growth in developing countries such as China will lead to huge mistake in predicting global energy demand. Finally, asymmetric cost of under- and over-estimation of GDP suggests a potentially less conservative stance in the future.},
urldate = {2016-04-11},
journal = {Technological Forecasting and Social Change},
author = {Liao, Hua and Cai, Jia-Wei and Yang, Dong-Wei and Wei, Yi-Ming},
keywords = {Energy demand, Forecast error, Medium-to-long term prediction, Social development},
file = {ScienceDirect Full Text PDF:files/54351/Liao et al. - Why did the historical energy forecasting succeed .pdf:application/pdf;ScienceDirect Snapshot:files/54354/S0040162516300154.html:text/html}
}
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