Conditional value-at-credibility for random fuzzy wind power in demand response integrated multi-period economic emission dispatch-Reference-Cited by-同舟云学术

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Conditional value-at-credibility for random fuzzy wind power in demand response integrated multi-period economic emission dispatch

Published:2020-03 Issue: Volume:261 Page:114337
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Chen J.J.,Qi B.X.,Peng K.,Li Y.,Zhao Y.L.

Funder

National Natural Science Foundation of China

Shandong Province Natural Science Foundation of China

A Project of Shandong Province Higher Educational Science and Technology Program

Publisher

Elsevier BV

Subject

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

Reference41 articles.

1. A low-carbon economic dispatch model incorporated with consumption-side emission penalty scheme;Shao;Appl Energy,2019

2. A new global particle swarm optimization for the economic emission dispatch with or without transmission losses;Zou;Energy Convers Manage,2017

3. Impact of energy saving and emission reduction policy on urban sustainable development: Empirical evidence from China;Lin;Appl Energy,2019

4. Review of recent offshore wind power developments in china;Liu;Wind Energy,2013

5. Global wind statistics;Council;Global Wind Report,2012

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