| Title |
Accident localization at the district heating network of Kaunas Region using machine learning |
| Authors |
Bukauskas, Mantas ; Lukoševičius, Mantas |
| Full Text |
|
| Is Part of |
CEUR workshop proceedings: IVUS 2020: Information society and university studies 2020: proceedings of the information society and university studies 2020, Kaunas, Lithuania, April 23, 2020 / edited by: A. Lopata, V. Sukackė, T. Krilavičius, I. Veitaitė, M. Woźniak.. Aachen : CEUR-WS. 2020, vol. 2698, p. 128-137.. ISSN 1613-0073 |
| Keywords [eng] |
Supervised machine learning ; xgboost ; district heating ; accident localization |
| Abstract [eng] |
Machine learning is constantly gaining popularity in real life applications. And one of them is prediction of various real-life events that depend on a huge number of factors that are hard to evaluate. In this article we describe the process of applying XGBoost — one of supervised machine learning methods — to help in prediction and localization of accidents in the district heating network of Kaunas region. We also investigate the importance of the different factors for these events. |
| Published |
Aachen : CEUR-WS |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2020 |
| CC license |
|
