EconPapers    
Economics at your fingertips  
 

A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data Analytics

Madjid Tavana, Akram Shaabani, Francisco Javier Santos-Arteaga and Iman Raeesi Vanani
Additional contact information
Madjid Tavana: Distinguished Chair of Business Analytics, Business Systems and Analytics Department, La Salle University, Philadelphia, PA 19141, USA
Akram Shaabani: Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran 14896-84511, Iran
Francisco Javier Santos-Arteaga: Faculty of Economics and Management, Free University of Bolzano, Bozen, 39100 Bolzano, Italy
Iman Raeesi Vanani: Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran 14896-84511, Iran

Energies, 2020, vol. 13, issue 15, 1-23

Abstract: 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.

Keywords: uncertainty; decision-making; energy; sustainability; text analytics (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/15/3947/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/15/3947/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:15:p:3947-:d:393238

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:13:y:2020:i:15:p:3947-:d:393238