Forecasting cross-border power transmission capacities in Central Western Europe using artificial neural networks

Forecasting cross-border power transmission capacities in Central Western Europe using artificial neural networks

Abstract Flow-based Market Coupling (FBMC) provides welfare gains from cross-border electricity trading by efficiently providing coupling capacity between bidding zones. In the coupled markets of Central Western Europe, common regulations define the FBMC methods, but transmission system operators ke...

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Bibliographic Details
Main Authors: Hazem Abdel-Khalek, Mirko Schäfer, Raquel Vásquez, Jan Frederick Unnewehr, Anke Weidlich
Format: Article
Language:English
Published: SpringerOpen 2019-09-01
Series:Energy Informatics
Subjects:
Flow-based market coupling
Cross-border electricity trading
Capacity calculation
Maximum bilateral exchanges
Artificial neural networks
Online Access:http://link.springer.com/article/10.1186/s42162-019-0094-y

Internet

http://link.springer.com/article/10.1186/s42162-019-0094-y

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