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Tusongjiang Kari

As seen in: MDPI
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Articles

Collaborative Game Theory Between Microgrid Operators and Distribution System Operator Considering Multi-Faceted Uncertainties

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By Shuai Wang, Tusongjiang Kari, Wei Zhang
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Energies | Free Full-Text | Dynamic Comprehensive Evaluation of a 660 MW Ultra-Supercritical Coal-Fired Unit Based on Improved Criteria Importance through Inter-Criteria Correlation and Entropy Weight Method

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By Haotian Yuan, Zening Cheng, Tusongjiang Kari
| MDPI
1. Introduction As global climate change and environmental pollution continue to intensify, countries have established carbon-neutral and dual-carbon targets to promote a more sustainable direction for the energy industry. Therefore, it is particularly urgent to comprehensively evaluate and analyze coal-fired units [1]. As an important part of traditional energy, the development and reform of coal-fired units under the background of dual carbon is particularly important [2].
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Dynamic Comprehensive Evaluation of a 660MW Ultra-Supercritical Coal-Fired Unit Based on Improved Criteria Importance through Inter-criteria Correlation and Entropy Weight Method

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By Zening Cheng, Haotian Yuan, Tusongjiang Kari
| Preprints.org
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 5 February 2024 / Approved: 6 February 2024 / Online: 6 February 2024 (10:37:04 CET) Yuan, H.; Ma, X.; Cheng, Z.; Kari, T. Dynamic Comprehensive Evaluation of a 660MW Ultra-Supercritical Coal-Fired Unit Based on Improved Criteria Importance through Inter-criteria Correlation and Entropy Weight Method. Preprints 2024, 2024020308. https://doi.org/10.20944/preprints202402.0308.v1 Yuan, H.; Ma, X.; Cheng, Z.; Kari, T.
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