| Issue |
E3S Web Conf.
Volume 404, 2023
International Conference on Electronics, Engineering Physics and Earth Science (EEPES 2023)
|
|
|---|---|---|
| Article Number | 01005 | |
| Number of page(s) | 8 | |
| Section | Energy Efficiency and Applied Thermodynamics | |
| DOI | https://doi.org/10.1051/e3sconf/202340401005 | |
| Published online | 24 July 2023 | |
Energy cluster analysis based on consumption data in different weather condition
1 International Hellenic University, Department of Physics, Agios Loukas, 65403, Kavala, Greece
2 HENDO Public’s Electricity Company, Kavala, Greece
* Corresponding author: author@email.org
The main aim of this effort is the discovery of knowledge from data, concerning consumption of electric energy, during the year 2022, based on unattended learning methods. These data were collected from the Public Electricity Company of Kavala and the methods used are, at first the Factor analysis and second the K-means clustering algorithm. The overhead methodologies are realized by the use of Statistica Data Miner software.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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