| Laminar convective heat transfer of shear-thinning liquids in rectangular channels with longitudinal vortex generators A Ebrahimi, B Naranjani, S Milani, FD Javan Chemical Engineering Science 173, 264-274, 2017 | 54 | 2017 |
| Assessing the impact of employing machine learning-based baseline load prediction pipelines with sliding-window training scheme on offered flexibility estimation for different … IAC Avendano, FD Javan, B Najafi, A Moazami, F Rinaldi Energy and Buildings 294, 113217, 2023 | 24 | 2023 |
| Handling complete short-term data logging failure in smart buildings: Machine learning based forecasting pipelines with sliding-window training scheme DN Papadopoulos, FD Javan, B Najafi, AH Mamaghani, F Rinaldi Energy and Buildings 301, 113694, 2023 | 11 | 2023 |
| Machine-learning-based prediction of hvac-driven load flexibility in warehouses F Dadras Javan, IA Campodonico Avendano, B Najafi, A Moazami, ... Energies 16 (14), 5407, 2023 | 11 | 2023 |
| Application of machine learning in occupant and indoor environment behavior modeling: Sensors, methods, and algorithms F Dadras Javan, H Khatam Bolouri Sangjoeei, B Najafi, ... Handbook of smart energy systems, 1-25, 2022 | 8 | 2022 |
| Predicting HVAC-Based Demand Flexibility In Grid-Interactive Efficient Buildings Utilizing Deep Neural Networks. IAC Avendano, A Moazami, FD Javan, B Najafi ECMS, 148-154, 2023 | 5 | 2023 |
| Estimating morning ramp-up duration for the cooling season in a smart building using machine learning: Determining most promising features FD Javan, IAC Avendano, B Najafi, M Rossi, F Rinaldi Sustainable Energy Technologies and Assessments 69, 103911, 2024 | 3 | 2024 |
| Green warehousing practices: Assessing the impact of PV self-consumption enhancement strategies in a logistics warehouse L Cannava, FD Javan, B Najafi, S Perotti Sustainable Energy Technologies and Assessments 72, 104054, 2024 | 2 | 2024 |
| Modulating The HVAC Demand Of A Warehouse To Provide Load Flexibility For Charging Electric Trucks. FD Javan, B Najafi, F Rinaldi, IAC Avendano, A Moazami ECMS, 255-261, 2023 | 2 | 2023 |
| Pressure Drop Estimation of Two-Phase Adiabatic Flows in Smooth Tubes: Development of Machine Learning-Based Pipelines F Bolourchifard, K Ardam, F Dadras Javan, B Najafi, ... Fluids 9 (8), 181, 2024 | 1 | 2024 |
| Electricity demand flexibility estimation in warehouses using machine learning FD Javan, IAC Avendano, A Kaboli, B Najafi, A Moazami, S Perotti, ... Big Data Application in Power Systems, 323-348, 2024 | 1 | 2024 |
| Just-in-Time Morning Ramp-Up Implementation in Warehouses Enabled by Machine Learning-Based Predictive Modelling: Estimation of Achievable Energy Saving through Simulation A Kaboli, F Dadras Javan, IA Campodonico Avendano, B Najafi, ... Energies 17 (17), 4401, 2024 | | 2024 |
| Heat Transfer Estimation in Flow Boiling of R134a within Microfin Tubes: Development of Explainable Machine Learning-Based Pipelines S Milani, K Ardam, F Dadras Javan, B Najafi, A Lucchini, IM Carraretto, ... Energies 17 (16), 4074, 2024 | | 2024 |
| Calibration and validation of physics-based data-driven models for simulating the thermal behavior of indoor spaces in an assisted living facility IAC Avendano, FD Javan, B Najafi, A Moazami E3S Web of Conferences 562, 11003, 2024 | | 2024 |
| Optimization of machine learning based pipelines for weather-normalized intervention assessment and ramp-up time estimation in a smart building system F DADRAS JAVAN Politecnico di Milano, 2019 | | 2019 |
| Evaluating the Performance of Machine Learning-Based Pipelines in Forecasting the Available Hvac-Driven Load Flexibility of Different Building Categories Considering Market … IA Campodonico Avendano, F Dadras Javan, B Najafi, A Moazami Available at SSRN 4822046, 0 | | |
| Data Reproduction in Smart Buildings Utilizing Data Reproduction in Smart Buildings Utilizing Optimized Machine Learning-Based Pipelines with Sliding-Window Training Scheme DN Papadopoulos, F Dadras Javan, B Najafi, A Haghighat Mamaghani, ... Available at SSRN 4397685, 0 | | |
Behzad NajafiAssociate Professor, Dept. of Energy, Politecnico di Milano - DataOptima LabВерификована је имејл адреса на polimi.it