Segmentation analysis of companies’ natural gas consumption by soft clustering
Küçük Resim Yok
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
Açıklama
International Conference on Intelligent and Fuzzy Systems, INFUS 2020 -- 21 July 2020 through 23 July 2020 -- -- 242349
Anahtar Kelimeler
Company consumption behavior, Fuzzy c-means, Natural gas, Segmentation, Smart meters, Weather temperature, Clustering algorithms, Copying, Fossil fuels, Fuzzy clustering, Fuzzy systems, Meteorology, Natural gas, Natural gasoline plants, Renewable energy resources, Environmental-friendly, Fuzzy C-means algorithms, Limited energies, Natural gas consumption, Natural gas energy, Renewable energy source, Segmentation analysis, Understandability, Gas industry
