A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data Analytics
The managerial and environmental studies conducted in the energy research area reflect its substantial importance, particularly when optimizing and modifying consumption patterns, transitioning to renewable sources away from fossil ones, and designing plans and systems. The aim of this study is to p...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-08-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/13/15/3947 |
| _version_ | 1797560536852856832 |
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| author | Madjid Tavana Akram Shaabani Francisco Javier Santos-Arteaga Iman Raeesi Vanani |
| author_facet | Madjid Tavana Akram Shaabani Francisco Javier Santos-Arteaga Iman Raeesi Vanani |
| author_sort | Madjid Tavana |
| collection | DOAJ |
| description | The managerial and environmental studies conducted in the energy research area reflect its substantial importance, particularly when optimizing and modifying consumption patterns, transitioning to renewable sources away from fossil ones, and designing plans and systems. The aim of this study is to provide a systematic review of the literature allowing us to identify which research subjects have been prioritized in the fields of energy and sustainability in recent years, determine the potential reasons explaining these trends, and categorize the techniques applied to analyze the uncertainty faced by decision-makers. We review articles published in highly ranked journals through the period 2003–2020 and apply text analytics to cluster their main characteristics; that is, we rely on pre-processing and text mining techniques. We analyze the title, abstract, keywords, and research methodology of the articles through clustering and topic modeling and illustrate what methods and fields constitute the main focus of researchers. We demonstrate the substantial importance of fuzzy-related methods and decision-making techniques such as the Analytical Hierarchy Process and Technique for Order Preferences by Similarity to Ideal Solutions (TOPSIS). We also show that subjects such as renewable energy, energy planning, sustainable energy, energy policy, and wind energy have gained relevance among researchers in recent years. |
| first_indexed | 2024-03-10T18:02:08Z |
| format | Article |
| id | doaj.art-587314ea95a14d9d9de0d00d01aeaa3f |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T18:02:08Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-587314ea95a14d9d9de0d00d01aeaa3f2023-11-20T08:46:55ZengMDPI AGEnergies1996-10732020-08-011315394710.3390/en13153947A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data AnalyticsMadjid Tavana0Akram Shaabani1Francisco Javier Santos-Arteaga2Iman Raeesi Vanani3Distinguished Chair of Business Analytics, Business Systems and Analytics Department, La Salle University, Philadelphia, PA 19141, USADepartment of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran 14896-84511, IranFaculty of Economics and Management, Free University of Bolzano, Bozen, 39100 Bolzano, ItalyDepartment of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran 14896-84511, IranThe managerial and environmental studies conducted in the energy research area reflect its substantial importance, particularly when optimizing and modifying consumption patterns, transitioning to renewable sources away from fossil ones, and designing plans and systems. The aim of this study is to provide a systematic review of the literature allowing us to identify which research subjects have been prioritized in the fields of energy and sustainability in recent years, determine the potential reasons explaining these trends, and categorize the techniques applied to analyze the uncertainty faced by decision-makers. We review articles published in highly ranked journals through the period 2003–2020 and apply text analytics to cluster their main characteristics; that is, we rely on pre-processing and text mining techniques. We analyze the title, abstract, keywords, and research methodology of the articles through clustering and topic modeling and illustrate what methods and fields constitute the main focus of researchers. We demonstrate the substantial importance of fuzzy-related methods and decision-making techniques such as the Analytical Hierarchy Process and Technique for Order Preferences by Similarity to Ideal Solutions (TOPSIS). We also show that subjects such as renewable energy, energy planning, sustainable energy, energy policy, and wind energy have gained relevance among researchers in recent years.https://www.mdpi.com/1996-1073/13/15/3947uncertaintydecision-makingenergysustainabilitytext analytics |
| spellingShingle | Madjid Tavana Akram Shaabani Francisco Javier Santos-Arteaga Iman Raeesi Vanani A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data Analytics Energies uncertainty decision-making energy sustainability text analytics |
| title | A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data Analytics |
| title_full | A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data Analytics |
| title_fullStr | A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data Analytics |
| title_full_unstemmed | A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data Analytics |
| title_short | A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data Analytics |
| title_sort | review of uncertain decision making methods in energy management using text mining and data analytics |
| topic | uncertainty decision-making energy sustainability text analytics |
| url | https://www.mdpi.com/1996-1073/13/15/3947 |
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