| Deep learning in energy modeling: Application in smart buildings with distributed energy generation SA Nabavi, NH Motlagh, MA Zaidan, A Aslani, B Zakeri IEEE Access 9, 125439-125461, 2021 | 101 | 2021 |
| Machine learning modeling for energy consumption of residential and commercial sectors SA Nabavi, A Aslani, MA Zaidan, M Zandi, S Mohammadi, ... Energies 13 (19), 5171, 2020 | 45 | 2020 |
| Deep learning modeling in electricity load forecasting: Improved accuracy by combining DWT and LSTM SA Nabavi, S Mohammadi, NH Motlagh, S Tarkoma, P Geyer Energy Reports 12, 2873-2900, 2024 | 1 | 2024 |
| Transfer Learning Modeling for Building Energy Performance Prediction Using Measured Data and Simulation Information SA Nabavi, P Geyer Proceedings of the 31st International Workshop on Intelligent Computing in …, 2024 | | 2024 |
| Effect of Night Ventilation on Thermal Comfort in Public University Office Rooms L BOTHE, SA NABAVI, P GEYER PLEA 2024: (RE)THINKING RESILIENCE Proceedings of 37th PLEA Conference …, 2024 | | 2024 |
| Combining Transfer Learning and Synthetic Time-Series Data to Predict Building Energy Consumption P Lay, SA Nabavi, P Geyer PLEA 2024:(Re) thinking Resilience. The book of proceedings, 881-886, 2024 | | 2024 |
| HVAC systems performance modeling using component-based machine learning SA Nabavi, U Saluz, M Wolf, P Geyer Building Simulation 2023 18, 1149-1157, 2023 | | 2023 |
| Component-Based Machine Learning for HVAC Systems Component Modeling SA Nabavi, U Saluz, S Mohammadi, P Geyer The 30th EG-ICE: International Conference on Intelligent Computing in …, 2023 | | 2023 |
| Component-based machine learning modeling for predicting building en-ergy performance–An overview P Geyer, X Chen, SA Nabavi | | |
Naser Hossein MotlaghUniversity of HelsinkiZweryfikowany adres z helsinki.fi