Segmentation Analysis of Companies’ Natural Gas Consumption by Soft Clustering

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Abstract

Although renewable energy sources have more significance than traditional sources, limited energy sources such as natural gas have been consumed in daily life. Natural gas energy is an environmental-friendly and easy-to-use energy source. Furthermore, it is the cleanest burning of all fossil fuels. Since the amount of gas consumed by companies is much more, the companies’ consumption amount was investigated. The companies concerning the consumption amount were clustered by fuzzy c-means algorithm in order to enhance the understandability thanks to the collection of 1049 companies’ data. This study, at the same time, presents the effects of weather conditions on the consumption amount in Istanbul. Hence, a calendar view visualization is created to show the relationship between consumption and weather conditions.

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APA

Dogan, O. (2021). Segmentation Analysis of Companies’ Natural Gas Consumption by Soft Clustering. In Advances in Intelligent Systems and Computing (Vol. 1197 AISC, pp. 47–53). Springer. https://doi.org/10.1007/978-3-030-51156-2_7

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