A machine learning and distributionally robust optimization framework for strategic energy planning under uncertainty-Reference-Cited by-同舟云学术

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A machine learning and distributionally robust optimization framework for strategic energy planning under uncertainty

Published:2020-08 Issue: Volume:271 Page:115005
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Guevara Esnil,Babonneau Fréderic,Homem-de-Mello Tito,Moret Stefano

Funder

FONDECYT

Qatar National Research Fund

Swiss National Science Foundation

ANILLO

Publisher

Elsevier BV

Subject

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

Reference53 articles.

1. Limpens G, Moret S, Jeanmart H, Maréchal F. Energyscope td: A novel open-source model for regional energy systems. Appl Energy 2019;255:113729. ISSN 0306–2619. .

2. Application of markal model generator in optimizing energy systems;Krzemień;J Sustain Min,2013

3. Osemosys: the open source energy modeling system: An introduction to its ethos, structure and development;Howells;Energy Policy,2011

4. ETEM-SG: optimizing regional smart energy system with power distribution constraints and options;Babonneau;Environ Model Assess,2017

5. Impacts of considering electric sector variability and reliability in the message model;Sullivan;Energy Strategy Rev,2013

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