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Farzad Dadras Javan
Farzad Dadras Javan
P.hD Student
Verified email at polimi.it
Title
Cited by
Cited by
Year
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
512017
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
102023
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
72022
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
42023
Predicting hvac-based demand flexibility in grid-interactive efficient buildings utilizing deep neural networks
IAC Avendano, A Moazami, F Dadras Javan, B Najafi
PROCEEDINGS EUROPEAN COUNCIL FOR MODELLING AND SIMULATION 2023, 148-154, 2023
32023
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
12023
Modulating the HVAC demand of a wharehouse to provide load flexibility for charging electric trucks
F Dadras Javan, B Najafi, F Rinaldi, IAC Avedano, A Moazami
Proceedings-European Council for Modelling and Simulation, ECMS, 2023 2023 …, 2023
12023
Optimization of machine learning based pipelines for weather-normalized intervention assessment and ramp-up time estimation in a smart building system
F DADRAS JAVAN
Italy, 2021
2021
Estimating Morning Ramp-Up Duration for the Cooling Season in a Smart Building Using Machine Learning: Determining Most Promising Features
F Dadras Javan, IA Campodonico Avendano, B Najafi, M Rossi, F Rinaldi
Available at SSRN 4712668, 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
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