An Integrated Entropy-TOPSIS Methodology for Evaluating Green Energy Sources

[1]  Cunbin Li,et al.  Linguistic hesitant fuzzy multi-criterion decision-making for renewable energy: A case study in Jilin , 2018 .

[2]  Arvind R. Singh,et al.  A review of multi criteria decision making (MCDM) towards sustainable renewable energy development , 2017 .

[3]  Rehan Sadiq,et al.  Sustainability assessment of flooring systems in the city of Tehran: An AHP-based life cycle analysis , 2011 .

[4]  Mads Troldborg,et al.  Assessing the sustainability of renewable energy technologies using multi-criteria analysis: Suitability of approach for national-scale assessments and associated uncertainties , 2014 .

[5]  Ümran Şengül,et al.  Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey , 2015 .

[6]  İhsan Kaya,et al.  Prioritization of renewable energy alternatives by using an integrated fuzzy MCDM model: A real case application for Turkey , 2017 .

[7]  Prasenjit Chatterjee,et al.  Integrated QFD-MCDM framework for green supplier selection , 2017 .

[8]  Sumiani Yusoff,et al.  Public opinion on renewable energy technologies and climate change in Peninsular Malaysia , 2018 .

[9]  H. Davoudpour,et al.  Developing a framework for renewable technology portfolio selection: A case study at a R&D center , 2012 .

[10]  Yuan Liu,et al.  Optimization-based provincial hybrid renewable and non-renewable energy planning – A case study of Shanxi, China , 2017 .

[11]  Mohit Goyal,et al.  Introduction of Renewable Energy Certificate in the Indian scenario , 2009 .

[12]  M. S. García-Cascales,et al.  Comparative TOPSIS-ELECTRE TRI methods for optimal sites for photovoltaic solar farms. Case study in Spain , 2016 .

[13]  A. Alam,et al.  A comparative study on household level energy consumption and related emissions from renewable (biomass) and non-renewable energy sources in Bangladesh , 2018 .

[14]  Naim Afgan,et al.  Sustainability assessment of hydrogen energy systems , 2004 .

[15]  Ling Zhang,et al.  City sustainability evaluation using multi-criteria decision making with objective weights of interdependent criteria , 2016 .

[16]  K. Tsagarakis,et al.  Clean vs. Green: Redefining renewable energy. Evidence from Latvia, Lithuania, and Romania , 2018, Renewable Energy.

[17]  Branko Vucijak,et al.  Applicability of multicriteria decision aid to sustainable hydropower , 2013 .

[18]  Manfred Lenzen,et al.  Current State of Development of Electricity-Generating Technologies: A Literature Review , 2010 .

[19]  Hiranmay Saha,et al.  Green energy sources (GES) selection based on multi‐criteria decision analysis (MCDA) , 2011 .

[20]  Alex Ng,et al.  Let’s Agree to Disagree! on Payoffs and Green Tastes in Green Energy Investments , 2018 .

[21]  J. Noailly,et al.  The impact of green innovation on energy intensity: An empirical analysis for 14 industrial sectors in OECD countries , 2018 .

[22]  Yu-Long Chen,et al.  Critical factors affecting the development of renewable energy power generation: Evidence from China , 2018 .

[23]  Cengiz Kahraman,et al.  Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul , 2010 .

[24]  Stelios Rozakis,et al.  Multi-criteria decision making on the energy supply configuration of autonomous desalination units , 2015 .

[25]  Jingzheng Ren,et al.  Selection of sustainable alternative energy source for shipping: Multi-criteria decision making under incomplete information , 2017 .

[26]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[27]  Ibrahim Dincer,et al.  Green energy strategies for sustainable development , 2006 .

[28]  Chandra Ade Irawan,et al.  A multi-criteria port suitability assessment for developments in the offshore wind industry , 2017 .

[29]  Yildiz Esra Albayrak,et al.  Renewable Energy Perspective for Turkey Using Sustainability Indicators , 2015, Int. J. Comput. Intell. Syst..

[30]  M. Kabak,et al.  Prioritization of renewable energy sources for Turkey by using a hybrid MCDM methodology , 2014 .

[31]  Semida Silveira,et al.  Using a sustainability index to assess energy technologies for rural electrification , 2015 .

[32]  Jingzheng Ren,et al.  Sustainability prioritization of energy storage technologies for promoting the development of renewable energy: A novel intuitionistic fuzzy combinative distance-based assessment approach , 2018, Renewable Energy.

[33]  Numan Çelebi,et al.  Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem , 2011, Expert Syst. Appl..

[34]  Won Il Ko,et al.  Integrated system evaluation of nuclear fuel cycle options in China combined with an analytical MCDM framework , 2018 .

[35]  Amitava Ray,et al.  Anti-islanding selection for grid-connected solar photovoltaic system applications: A MCDM based distance approach , 2014 .

[36]  Cherian Samuel,et al.  Selection of Best Renewable Energy Source by Using VIKOR Method , 2017 .

[37]  Jin-Soo Kim,et al.  Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP , 2010 .

[38]  O. Tatari,et al.  Ranking the sustainability performance of pavements: An intuitionistic fuzzy decision making method , 2014 .

[39]  Jingzheng Ren,et al.  Prioritizing low-carbon energy sources to enhance China’s energy security , 2015 .

[40]  John Machell,et al.  A comparative analysis framework for assessing the sustainability of a combined water and energy infrastructure , 2015 .

[41]  Edmundas Kazimieras Zavadskas,et al.  Selecting the optimal renewable energy using multi criteria decision making , 2013 .

[42]  A. Manzella,et al.  Environmental and social aspects of geothermal energy in Italy , 2018 .

[43]  Yih-Chearng Shiue,et al.  Applying analytic network process to evaluate the optimal recycling strategy in upstream of solar energy industry , 2012 .

[44]  Ting Zhang,et al.  Evaluation of renewable power sources using a fuzzy MCDM based on cumulative prospect theory: A case in China , 2018 .

[45]  Haris Ch. Doukas,et al.  Computing with words to assess the sustainability of renewable energy options , 2010, Expert Syst. Appl..

[46]  Fausto Cavallaro,et al.  Fuzzy TOPSIS approach for assessing thermal-energy storage in concentrated solar power (CSP) systems , 2010 .

[47]  Aqeel Ahmed Bazmi,et al.  Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review , 2011 .

[48]  Feargal Brennan,et al.  Multi-criteria assessment of offshore wind turbine support structures , 2011 .

[49]  Beyzanur Cayir Ervural,et al.  An ANP and fuzzy TOPSIS-based SWOT analysis for Turkey's energy planning , 2018 .

[50]  Fatih Emre Boran,et al.  A new approach for evaluation of renewable energy resources: A case of Turkey , 2018 .

[51]  Tom E. Baldock,et al.  Case study feasibility analysis of renewable energy supply options for small to medium-sized tourist accommodations , 2009 .

[52]  D. Štreimikienė,et al.  Prioritizing sustainable electricity production technologies: MCDM approach , 2012 .

[53]  Yi-Ming Wei,et al.  Selection of energy performance contracting business models: A behavioral decision-making approach , 2017 .

[54]  Dipika Pramanik,et al.  Resilient supplier selection using AHP-TOPSIS-QFD under a fuzzy environment , 2017 .

[55]  Amitava Ray,et al.  Optimal green energy planning for sustainable development: A review , 2017 .

[56]  Toward an optimal household solar subsidy: A social-technical approach , 2018 .

[57]  Gülçin Büyüközkan,et al.  Evaluation of Renewable Energy Resources in Turkey using an integrated MCDM approach with linguistic interval fuzzy preference relations , 2017 .

[58]  Amitava Ray,et al.  The effect of normalization tools on green energy sources selection using multi-criteria decision-making approach: A case study in India , 2018 .

[59]  Ray Galvin,et al.  Trouble at the end of the line: Local activism and social acceptance in low-carbon electricity transmission in Lower Franconia, Germany , 2018 .

[60]  Rahula A. Attalage,et al.  A hybrid tool to combine multi-objective optimization and multi-criterion decision making in designing standalone hybrid energy systems , 2013 .

[61]  Michaël Aklin,et al.  Social acceptance of new energy technology in developing countries: A framing experiment in rural India , 2018 .

[62]  J. R. San Cristóbal,et al.  Multi-criteria decision-making in the selection of a renewable energy project in Spain: the VIKOR method. , 2011 .

[63]  Hisham Alidrisi,et al.  Utilization of energy sources by G20 countries: A TOPSIS-BASED approach , 2017 .

[64]  Amitava Ray,et al.  Green energy sources selection for sustainable energy planning using multi-criteria decision-making approach , 2018 .