Exploring Patterns in Water Consumption by Clustering

摘要: Abstract Water scarcity, high water demand due to increasing urbanization and the ongoing liberalization of energy markets makes utilities look into innovative ways approach consumers, offer attractive plans educate them by raising their awareness resource use. We analyze consumption data from a group consumers at Greek island Skiathos, for which we have additional information about features concerning patterns. These are used as input vectors construction Kohonen Self-Organized Maps that classification methods cluster according consumption. Results show such analysis can be promising automatic based on urban data, even if is not real-time, or frequent, since consumptions standard quarterly bills used.