Power load recommendation on European conference on machine learning

On September 22nd the PhD student Jaroslav Loebl from the Faculty of Informatics and Information Technologies, Slovak University of Technology in Bratislava attended one of the workshops of the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML PKDD). The workshop titled Data Analytics for Renewable Energy Integration (DARE'17) was focused on utilization of data analytics in the process of integration of renewable energy sources in a smart grid. The paper

introduced a recommender system for power load shifting in a household during the day to achieve maximum financial savings without the disturbance of residents’ comfort. The research and the trip to the conference were possible with the support of ITMS 26240120039 project.

Loebl, J., Posch, H., & Rozinajová, V. (2017). Multi-objective Optimization for Power Load Recommendation Considering User’s Comfort (pp. 26–32). Springer, Cham. https://doi.org/10.1007/978-3-319-71643-5_3