Abstract
Data related to electricity consumption is a global problem, particularly here in Qatar. Thus, a customized tool to analyze this data is made. The aim of this research is to present a new software, which would help the Qatar General Electricity & Water Corporation (KAHRAMAA) to identify trends, patterns and relationships of the consumptions and waste of electricity. Analyzing the electricity consumption would help in finding any abnormal trends. This tool will help in overcoming the challenges of analyzing such data and in gaining a deeper insight into its large and complex data sets. This software will ultimately help managers understand the processes that generated the data, which can be used to improve decision making in their target domain.
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CITATION STYLE
Soliman, E., Al-Mohannadi, A. H., & Fetais, N. (2016). Visualizing electricity consumption in Qatar. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9929 LNCS, pp. 378–381). Springer Verlag. https://doi.org/10.1007/978-3-319-46771-9_49
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