Towards a proficient business intelligence for energy efficiency domain - prerequisites and data sources

Bartłomiej Gawin , Bartosz Marcinkowski


Business Intelligence (BI) has been introduced in different areas in order to take better decisions and it provides diverse levels of information to the stakeholders, based on their information needs. Some organizations apply BI to control their energy costs. To achieve comprehensive knowledge of all factors that affect energy consumption, BI systems in energy efficiency (EE) domain must be supplied with large amounts of data from different sources. The data are transformed into information and advanced analysis tools enable deep insight into energy consumption reasons and relationships with other factors. The knowledge gained this way improves management of the energy usage. Within this paper, authors perform a subjectrelated literature review on recent works of BI implementation in EE domain. Data sources for Business Intelligence analysis in the aforementioned domain are identified, enabling future indepth research aimed at estimating dependencies and patterns regarding electricity consumption.
Author Bartłomiej Gawin (FM / DBI)
Bartłomiej Gawin,,
- Department of Business Informatics
, Bartosz Marcinkowski (FM / DBI)
Bartosz Marcinkowski,,
- Department of Business Informatics
Publication size in sheets0.61
Book Kowal Jolanta, Lindskog Helena, Soja Piotr, Sonntag Ralph (eds.): Proceedings of the international conference on ICT Management for global competitiveness and economic growth in emerging economies : ICTM 2016, Wrocław, Poland, November 7-8, 2016, 2016, University of Wrocław, ISBN 978-83-64389-62-7, 295 p.
Keywords in Englishbusiness intelligence, BI, energy efficiency, facility management
Languageen angielski
Score (nominal)15
ScoreMinisterial score = 15.0, 23-05-2018, BookChapterMatConfByIndicator
Ministerial score (2013-2016) = 15.0, 23-05-2018, BookChapterMatConfByIndicator
Citation count*
Share Share

Get link to the record

* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.