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Integrated scenarios for energy: A methodology for the short term

Abstract Quantitative point forecasts of energy and carbon emissions have experienced difficulty with responding to uncertainty. Accuracy issues arise even in the short term with consequences for policy. The technique of scenario analysis is increasingly applied in scientific inquiry on the long term but it also has utility in the short term. This paper presents a discussion of the use of forecasts for prediction and proposes integrated or ‘hybrid’ exploratory qualitative and quantitative scenarios in its stead. Various methodological issues are explored towards formulation of a scenario development process. Integrated scenarios structure thinking on the future, bound uncertainty, document important assumptions, aid communication, widen perspectives, can explore new dynamics and permit exploration of ‘softer’ issues in development paths such as governance, social and cultural drivers. These can be crucial to outcomes but are not captured by quantitative approaches alone. An example of the technique employed to construct integrated scenarios for Ireland to 2020 is presented, which as a process is applicable with diverse quantitative techniques. The advancement of more broad holistic perspectives on development and processes of change is policy relevant in all states, for which purpose integrated scenarios are an ideal analysis and mainstreaming tool even on short time scales.
- Technological University Maubin Myanmar
- University of Zurich Switzerland
- Technological University Dublin Ireland
- TECHNOLOGICAL UNIVERSITY DUBLIN Ireland
Energy, 330, Short-term, Scenario, Integrated, Forecast, Growth and Development, Other Economics
Energy, 330, Short-term, Scenario, Integrated, Forecast, Growth and Development, Other Economics
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).40 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
