Advancing solar power forecasting with machine learningHokmabad, Hossein Nourollahi22nd International Symposium “Topical Problems in the Field of Electrical and Power Engineering”. Doctoral School of Energy and Geotechnology III : Pärnu, Estonia, August 23-26, 20232023 / p. 89-90 : ill https://www.ester.ee/record=b5570906*est

Comparative analysis of machine learning techniques for non-intrusive load monitoringShabbir, Noman; Vassiljeva, Kristina; Hokmabad, Hossein Nourollahi; Husev, Oleksandr; Petlenkov, Eduard; Belikov, JuriElectronics2024 / art. 1420 https://doi.org/10.3390/electronics13081420

Day-ahead PV output power forecasting utilizing boosting recursive lightGBM-LSTM frameworkHokmabad, Hossein Nourollahi; Husev, Oleksandr; Vinnikov, Dmitri; Belikov, Juri; Petlenkov, EduardIEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe 2023) : proceedings2023 / 5 p https://doi.org/10.1109/ISGTEUROPE56780.2023.10408090

Li-Ion battery equivalent circuit modellingHokmabad, Hossein Nourollahi21st International Symposium "Topical problems in the field of electrical and power engineering. Doctoral school of energy and geotechnology. III" : Pärnu, Estonia, June 15-18, 20222022 / p. 97-98 : ill https://www.ester.ee/record=b5504019*est

Practical demand side management: one day case studyKöse, Ahmet; Hokmabad, Hossein Nourollahi; Belikov, Juri; Tepljakov, Aleksei; Petlenkov, EduardHealthy Buildings 2023 Europe: Beyond Disciplinary Boundaries: proceedings ; 12023 / p. 36-42 https://www.proceedings.com/content/070/070278webtoc.pdf

State-of-the-art activity recognition and prediction techniques applicable to the home energy management systemHokmabad, Hossein Nourollahi; Belikov, Juri; Husev, Oleksandr; Vinnikov, Dmitri2022 IEEE 7th International Energy Conference (ENERGYCON)2022 / art. 181231 : ill https://doi.org/10.1109/ENERGYCON53164.2022.9830154