國立虎尾科技大學 |

Long-term Modeled Projections of the Energy Sector = An Incremental Approach to Narrowing Down the Uncertainty Range /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Long-term Modeled Projections of the Energy Sector / by Yuri D. Kononov.
其他題名:	An Incremental Approach to Narrowing Down the Uncertainty Range /
作者:	Kononov, Yuri D.
面頁冊數:	XVI, 98 p.online resource. :
Contained By:	Springer Nature eBook
標題:	Natural Resource and Energy Economics. -
電子資源:	https://doi.org/10.1007/978-3-030-30533-8
ISBN:	9783030305338

Long-term Modeled Projections of the Energy Sector = An Incremental Approach to Narrowing Down the Uncertainty Range /
Kononov, Yuri D.

Long-term Modeled Projections of the Energy Sector An Incremental Approach to Narrowing Down the Uncertainty Range /[electronic resource] :by Yuri D. Kononov. - 1st ed. 2020. - XVI, 98 p.online resource. - Springer Geophysics,2364-9119. - Springer Geophysics,.

The effects of the forecasting time frame on forecast performance and forecast performance requirements -- Further development of the long-term forecasting methodology for the energy sector -- Methods of projecting price and demand for energy commodities -- Assessment and factoring in of conditions and barriers that limit the projection range of the prospective development of the engery sector -- Quantitative assessment of strategic threats and energy security indicatiors.

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.

ISBN: 9783030305338

Standard No.: 10.1007/978-3-030-30533-8doiSubjects--Topical Terms:

1113585
Natural Resource and Energy Economics.

LC Class. No.: TA703-705.4

Dewey Class. No.: 624.151

Long-term Modeled Projections of the Energy Sector = An Incremental Approach to Narrowing Down the Uncertainty Range /
LDR:02806nam a22004095i 4500 001 1018905
003 DE-He213
005 20200704131055.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030305338 $9 978-3-030-30533-8
024 7 $a 10.1007/978-3-030-30533-8 $2 doi
035 $a 978-3-030-30533-8
050 4 $a TA703-705.4
072 7 $a RB $2 bicssc
072 7 $a SCI019000 $2 bisacsh
072 7 $a RB $2 thema
082 0 4 $a 624.151 $2 23
100 1 $a Kononov, Yuri D. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1314003
245 1 0 $a Long-term Modeled Projections of the Energy Sector $h [electronic resource] : $b An Incremental Approach to Narrowing Down the Uncertainty Range / $c by Yuri D. Kononov.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a XVI, 98 p. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Springer Geophysics, $x 2364-9119
505 0 $a The effects of the forecasting time frame on forecast performance and forecast performance requirements -- Further development of the long-term forecasting methodology for the energy sector -- Methods of projecting price and demand for energy commodities -- Assessment and factoring in of conditions and barriers that limit the projection range of the prospective development of the engery sector -- Quantitative assessment of strategic threats and energy security indicatiors.
520 $a 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.
650 2 4 $a Natural Resource and Energy Economics. $3 1113585
650 2 4 $a Energy Systems. $3 785876
650 2 4 $a Energy Policy, Economics and Management. $3 784769
650 1 4 $a Geotechnical Engineering & Applied Earth Sciences. $3 815187
650 0 $a Natural resources. $3 569618
650 0 $a Energy systems. $3 1253529
650 0 $a Energy and state. $3 1197930
650 0 $a Energy policy. $3 554736
650 0 $a Geotechnical engineering. $3 1024219
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030305321
776 0 8 $i Printed edition: $z 9783030305345
776 0 8 $i Printed edition: $z 9783030305352
830 0 $a Springer Geophysics, $x 2364-9119 $3 1255025
856 4 0 $u https://doi.org/10.1007/978-3-030-30533-8
912 $a ZDB-2-EES
912 $a ZDB-2-SXEE
950 $a Earth and Environmental Science (SpringerNature-11646)
950 $a Earth and Environmental Science (R0) (SpringerNature-43711)