Assessing and overcoming the renewable energy barriers for sustainable development in Pakistan: An integrated AHP and fuzzy TOPSIS approach-Reference-Cited by-同舟云学术

Assessing and overcoming the renewable energy barriers for sustainable development in Pakistan: An integrated AHP and fuzzy TOPSIS approach

Published:2021-08 Issue: Volume:173 Page:209-222
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Solangi Yasir Ahmed,Longsheng Cheng,Shah Syed Ahsan Ali

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference76 articles.

1. Reviewing the Strategies for Climate Change and Sustainability after the US Defiance of the Paris Agreement : an AHP – GMCR-Based Conflict Resolution Approach;Ali,2021

2. Energy sources choice and environmental sustainability disputes: an evolutional graph model approach;Ali;Qual. Quantity,2019

3. An integrated Delphi-AHP and fuzzy TOPSIS approach toward ranking and selection of renewable energy resources in Pakistan;Solangi;Processes,2019

4. Identifying barriers in the diffusion of renewable energy sources;Eleftheriadis;Energy Pol.,2015

5. Influence of hydrologically based environmental flow methods on flow alteration and energy production in a run-of-river hydropower plant;Kuriqi;J. Clean. Prod.,2019

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