£57.91

Springer Long-term Modeled Projections of the Energy Sector: An Incremental Approach to Narrowing Down the Uncertainty Range (Springer Geophysics)

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Description

Product Description This book covers available approaches to improving the performance and impact of long-term projections of the national energy sector development. In turn, it introduces an original multi-stage approach to narrowing down the uncertainty range of the input data and resulting projections. Its unique contribution is that it limits the scope for each of the projection timeframe segments step-by-step. This is done in the course of iterative calculations, which employ dedicated methods and other tools to elucidate and solve top-priority problems specific to each time segment. In closing, the book provides a detailed treatment of two essential research problems: 1) long-term forecasting for regional energy markets, and 2) the quantitative assessment of a) the barriers that are likely to hinder energy sector development and b) strategic-level energy security threats. From the Back Cover This book covers available approaches to improving the performance and impact of long-term projections of the national energy sector development. In turn, it introduces an original multi-stage approach to narrowing down the uncertainty range of the input data and resulting projections. Its unique contribution is that it limits the scope for each of the projection timeframe segments step-by-step. This is done in the course of iterative calculations, which employ dedicated methods and other tools to elucidate and solve top-priority problems specific to each time segment. In closing, the book provides a detailed treatment of two essential research problems: 1) long-term forecasting for regional energy markets, and 2) the quantitative assessment of a) the barriers that are likely to hinder energy sector development and b) strategic-level energy security threats. About the Author Yuri D. Kononov – Doctor of Economics, Professor, Meritorious Scientist of the Russian Federation, Chief Researcher at the Melentiev Energy Systems Institute of the Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia. His fields of research are modeling of energy and economy interactions as well as the methods aimed at enhancing the validity of long-term projections of the energy industry development. He has 254 research publications to his credit (including the authorship and co-authorship of 16 research monographs).

Product Specifications

Format
Paperback
Domain
Amazon UK
Release Date
26 August 2021
Listed Since
06 December 2020

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