Energy cluster analysis based on consumption data in different weather condition

The main aim of this effort is the discovery knowledge from data, concerning consumption electric energy, during year 2022, based on unattended learning methods. These data were collected Public Electricity Company Kavala and methods used are, at first Factor analysis second K-means clustering algorithm. overhead methodologies are realized by use Statistica Data Miner software.