Economics at your fingertips  

Forecasting the Development Process of Wind Energy in the North Sea Basin Based on Learning Curves

Valeriy Kryukov () and A. A. Gorlov ()
Additional contact information
A. A. Gorlov: National Research University Higher School of Economics

Studies on Russian Economic Development, 2019, vol. 30, issue 2, 177-184

Abstract: Abstract The article presents the results of predictive studies of the development of new energy sources using the example of wind energy technologies in the countries of the North Sea Basin. Predictive estimates (based on the mathematical technique of learning curves), the dynamics of installed power and the generation of electric power by floating wind power stations, as well as the processes of replacing traditional energy with developing energy technologies in various countries, including Russia, are considered. The economic characteristics of energy technologies at an early stage of development are given.

Date: 2019
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link) Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This journal article can be ordered from
https://www.springer ... nomics/journal/11507

Access Statistics for this article

Studies on Russian Economic Development is currently edited by Viktor V. Ivanter, Dmitrii B. Kuvalin and Galina A. Yaremenko

More articles in Studies on Russian Economic Development from Springer
Bibliographic data for series maintained by Sonal Shukla ().

Page updated 2019-11-06
Handle: RePEc:spr:sorede:v:30:y:2019:i:2:d:10.1134_s1075700719020084