Short-term forecasting of CO2 emission intensity in power grids by machine learning-Reference-Cited by-同舟云学术

Short-term forecasting of CO2 emission intensity in power grids by machine learning

Published:2020-11 Issue: Volume:277 Page:115527
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Leerbeck Kenneth,Bacher Peder,Junker Rune Grønborg,Goranović Goran,Corradi Olivier,Ebrahimy Razgar,Tveit Anna,Madsen Henrik

Funder

Interreg

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference26 articles.

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2. Status of power system transformation 2019, IEA, Paris, [Online; accessed 6-Nov-2019]; 2019. https://www.iea.org/reports/status-of-power-system-transformation-2019.

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