Sustainable energy transition for renewable and low carbon grid electricity generation and supply
MJB Kabeyi, OA Olanrewaju - Frontiers in Energy research, 2022 - frontiersin.org
The greatest sustainability challenge facing humanity today is the greenhouse gas
emissions and the global climate change with fossil fuels led by coal, natural gas and oil …
emissions and the global climate change with fossil fuels led by coal, natural gas and oil …
Assessment of the renewable energy generation towards net-zero energy buildings: A review
Decarbonizing the building sector is extremely important to mitigating climate change as the
sector contributes 40% of the overall energy consumption and 36% of the total greenhouse …
sector contributes 40% of the overall energy consumption and 36% of the total greenhouse …
[HTML][HTML] Sensitivity analysis approaches in multi-criteria decision analysis: A systematic review
J Więckowski, W Sałabun - Applied Soft Computing, 2023 - Elsevier
In the field of Multi-Criteria Decision Analysis (MCDA), the deployment of sensitivity analysis
has become a fundamental approach to testing the robustness and reliability of the results …
has become a fundamental approach to testing the robustness and reliability of the results …
Comparative analysis of MCDM methods for ranking renewable energy sources in Taiwan
HC Lee, CT Chang - Renewable and sustainable energy reviews, 2018 - Elsevier
Multi-criteria decision making (MCDM) methods are becoming increasingly popular in
solving energy selection problems because these problems involve multiple and often …
solving energy selection problems because these problems involve multiple and often …
[HTML][HTML] A comprehensive review of fuzzy multi criteria decision making methodologies for energy policy making
I Kaya, M Çolak, F Terzi - Energy Strategy Reviews, 2019 - Elsevier
Energy policy making is one of the most significant issues for countries and it can be
evaluated by using multi-criteria decision making (MCDM) methods. The energy decision …
evaluated by using multi-criteria decision making (MCDM) methods. The energy decision …
Fuzzy best-worst multi-criteria decision-making method and its applications
S Guo, H Zhao - Knowledge-based systems, 2017 - Elsevier
Considering the vagueness frequently representing in decision data due to the lack of
complete information and the ambiguity arising from the qualitative judgment of decision …
complete information and the ambiguity arising from the qualitative judgment of decision …
Decision analysis related to the renewable energy investments in Turkey based on a Fuzzy AHP-EDAS-Fuzzy FMEA approach
Due to the factors such as technological developments, industrialization, population growth,
etc. the energy need in the world is constantly increasing and the available resources are …
etc. the energy need in the world is constantly increasing and the available resources are …
Multiple criteria decision-making techniques and their applications–a review of the literature from 2000 to 2014
Sažetak Multiple criteria decision-making (MCDM) is considered as a complex decision
making (DM) tool involving both quantitative and qualitative factors. In recent years, several …
making (DM) tool involving both quantitative and qualitative factors. In recent years, several …
The evaluation of renewable energy alternatives for sustainable development in Turkey using intuitionistic fuzzy-TOPSIS method
This study analyzes the best renewable energy options in Turkey's sustainable development
using the IF-TOPSIS method. The study aims to rank Turkey's preferences for renewable …
using the IF-TOPSIS method. The study aims to rank Turkey's preferences for renewable …
Effects of normalization on the entropy-based TOPSIS method
P Chen - Expert Systems with Applications, 2019 - Elsevier
In this paper, the frequently used normalization methods for the entropy method (EM) and
the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) when these two …
the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) when these two …