DADRAS JAVAN, FARZAD
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Risultati 1 - 6 di 6 (tempo di esecuzione: 0.01 secondi).
Assessing the impact of employing machine learning-based baseline load prediction pipelines with sliding-window training scheme on offered flexibility estimation for different building categories
2023-01-01 Campodonico Avendano, I. A.; Dadras Javan, F.; Najafi, B.; Moazami, A.; Rinaldi, F.
Handling complete short-term data logging failure in smart buildings: Machine learning based forecasting pipelines with sliding-window training scheme
2023-01-01 Papadopoulos, D. N.; Dadras Javan, F.; Najafi, B.; Haghighat Mamaghani, A.; Rinaldi, F.
Heat transfer estimation in flow boiling of R134a within microfin tubes: development of explainable machine learning-based pipelines
2024-01-01 Milani, Shayan; Ardam, Keivan; Dadras Javan, Farzad; Najafi, Behzad; Lucchini, Andrea; Carraretto, Igor Matteo; Colombo, Luigi Pietro Maria
Machine-Learning-Based Prediction of HVAC-Driven Load Flexibility in Warehouses
2023-01-01 Dadras Javan, Farzad; Campodonico Avendano, Italo Aldo; Najafi, Behzad; Moazami, Amin; Rinaldi, Fabio
Modulating the HVAC demand of a wharehouse to provide load flexibility for charging electric trucks
2023-01-01 Dadras Javan, F.; Najafi, B.; Rinaldi, F.; Avedano, I. A. C.; Moazami, A.
Predicting HVAC-based Demand Flexibility in Grid-interactive Efficient Buildings Utilizing Deep Neural Networks
2023-01-01 Avendano, I. A. C.; Moazami, A.; Dadras Javan, F; Najafi, B.