print

Day-ahead market modelling of large-scale highly-renewable multi-energy systems : analysis of the North Sea region towards 2050

author
Gea-Bermudez, Juan
Das, Kaushik
Koduvere, Hardi
Koivisto, Matti J.
statement of authorship
Juan Gea-Bermúdez, Kaushik Das, Hardi Koduvere and Matti Juhani Koivisto
source
Energies
publisher
MDPI
journal volume number month
vol. 14, 1
year of publication
2021
pages
art. 88, 17 p. : ill
url
https://doi.org/10.3390/en14010088
subject term
energiasüsteemid
energiaturg
matemaatilised mudelid
keyword
energy system
large scale
day ahead market
operational planning
unit commitment
ISSN
1996-1073
notes
Bibliogr.: 33 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Mathematics
Engineering
Energy
category (sub)
Mathematics. Control and optimization
Engineering. Engineering (miscellaneous)
Engineering. Electrical and electronic engineering
Energy. Energy engineering and power technology
Energy. Energy (miscellaneous)
Energy. Fuel technology
Energy. Renewable energy, sustainability and the environment
kvartiil
Q2
TTÜ department
elektroenergeetika ja mehhatroonika instituut
language
inglise
Uurimisrühm
Energy economics and high voltage engineering research group
Gea-Bermúdez, J., Das, K., Koduvere, H., Koivisto, M. J. Day-ahead market modelling of large-scale highly-renewable multi-energy systems : analysis of the North Sea region towards 2050 // Energies (2021) vol. 14, 1, art. 88, 17 p. : ill. https://doi.org/10.3390/en14010088