Hasso Plattner excellence grant 2023

“Modeling and Optimizing Electricity Consumption and Production through Advanced Machine Learning Methods”

Implementation period: 3 July 2023 – 30 June 2025

Targeted results:

1. attracting funds from national or international research competitions;

2. publishing scientific articles in BDI journals (including ISI);

3. obtaining international (EPO / USPTO) and national (OSIM) patents;

4. publishing books / book chapters at prestigious international publishing houses;

5. participation in prestigious international conferences and publication of papers in conference volumes.

Grant No. LBUS-HPI-ERG-2023-03

Publications:

R. Sorostinean, Z. Burghelea and A. Gellert, “Anomaly Detection in Smart Industrial Machinery Through Hidden Markov Models and Autoencoders," in IEEE Access, vol. 12, pp. 69217-69228, 2024, doi: 10.1109/ACCESS.2024.3400970.

D. Peteleaza, A. Matei, R. Sorostinean, A. Gellert, U. Fiore, B.-C. Zamfirescu, F. Palmieri, “Electricity consumption forecasting for sustainable smart cities using machine learning methods,” Internet of Things, Vol. 27, p. 101322, 2024, doi: 10.1016/j.iot.2024.101322.

Sorostinean, R., Neghina, C. & Gellert, A. “Boosting anomaly detection with unsupervised K-Means and SOM for energy-efficient factory machines". J Intell Manuf (2025). doi: 10.1007/s10845-025-02754-7

Peteleaza, D., Matei, A., Sorostinean, R., Gellert, A., Zamfirescu, B. C., Fiore, U., & Palmieri, F. (2025). Water level forecasting for hydroelectric power plants using deep learning. Renewable Energy, 124692. doi: 10.1016/j.renene.2025.124692

• Gellert Arpad – Project Leader
• Zamfirescu Bala-Constantin – Experienced Researcher
• Matei Alexandru – PhD Student
• Sorostinean Radu Traian – PhD Student
• Peteleaza Darius – Master Student