2021
DOI: 10.3390/su13020638
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A Business Intelligence & Analytics Framework for Clean and Affordable Energy Data Analysis

Abstract: Energy is the sector most strongly connected with climate change moderation, and this correlation and interdependency is largely investigated, in particular as regards renewable energy and sustainability issues. The United Nations, European Union, and all countries around the world declare their support for sustainable development, materialized in agreements, strategies, and action plans. This diversity, combined with significant interdependencies between indicators, brings up challenges for data analysis, whi… Show more

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Cited by 25 publications
(15 citation statements)
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“…Affordable and clean energy is directly related to other SDGs [196]. Energy production enhancement, energy efficiency [197,198], alternative energy resources [199], modern and renewable energy [200], clean cooking [201,202], energy cost [203], and zero-carbon energy and greenhouse gasses [204] are just a few highlights of the SDG-7 literature.…”
Section: Sdg-6 (Clean Water and Sanitation)mentioning
confidence: 99%
“…Affordable and clean energy is directly related to other SDGs [196]. Energy production enhancement, energy efficiency [197,198], alternative energy resources [199], modern and renewable energy [200], clean cooking [201,202], energy cost [203], and zero-carbon energy and greenhouse gasses [204] are just a few highlights of the SDG-7 literature.…”
Section: Sdg-6 (Clean Water and Sanitation)mentioning
confidence: 99%
“…Only in this way can we bring breakthrough progress to the use of big data [30]. In addition, how to make the perfect combination of big data and enterprise operation and development is a problem that every enterprise needs to think about and constantly improve, and the construction of a perfect business intelligence system plays a supporting role [31][32][33][34].…”
Section: Business Intelligence and Big Datamentioning
confidence: 99%
“…(a) Oriented to strategic aspects of the sector: Muntean et al (2021) designed a process to develop information artifacts, which are the essence of a business intelligence & analytics system, to monitor the SDG 7 about SDG 13 indicators; Schinkinger (2020) explores how data analytics can be performed in real-time and help companies in decision making, sales, and strategy development by turning data into information and gaining new insights from it for energy suppliers; (Zia et al, 2019) describe outputs which may include the system feasibility, greenhouse gas emissions, cumulative financial costs, natural resource use; (Harison, 2012) based on the analytical framework, possible technical, organisational, and personal factors that affect the failure, partial or full success of BI system implementations are discussed and Argotte et al (2009) present a comprehensive survey related to the BI applications for the Energy Markets (EM) to show trends and useful methods for tackling everyday EM challenges.…”
Section: Business Intelligencementioning
confidence: 99%