DADRAS JAVAN, FARZAD

DADRAS JAVAN, FARZAD  

DIPARTIMENTO DI ENERGIA  

Mostra records
Risultati 1 - 7 di 7 (tempo di esecuzione: 0.012 secondi).
Titolo Data di pubblicazione Autori File
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 1-gen-2023 Dadras Javan F.Najafi B.Rinaldi F. +
Handling complete short-term data logging failure in smart buildings: Machine learning based forecasting pipelines with sliding-window training scheme 1-gen-2023 Dadras Javan F.Najafi B.Rinaldi F. +
Heat transfer estimation in flow boiling of R134a within microfin tubes: development of explainable machine learning-based pipelines 1-gen-2024 Milani, ShayanArdam, KeivanDadras Javan, FarzadNajafi, BehzadLucchini, AndreaCarraretto, Igor MatteoColombo, Luigi Pietro Maria
Just-in-Time Morning Ramp-Up Implementation in Warehouses Enabled by Machine Learning-Based Predictive Modelling: Estimation of Achievable Energy Saving through Simulation 1-gen-2024 Kaboli A.Dadras Javan F.Campodonico Avendano I. A.Najafi B.Colombo L. P. M.Perotti S.Rinaldi F.
Machine-Learning-Based Prediction of HVAC-Driven Load Flexibility in Warehouses 1-gen-2023 Dadras Javan, FarzadNajafi, BehzadRinaldi, Fabio +
Modulating the HVAC demand of a wharehouse to provide load flexibility for charging electric trucks 1-gen-2023 F. Dadras JavanB. NajafiF. Rinaldi +
Predicting HVAC-based Demand Flexibility in Grid-interactive Efficient Buildings Utilizing Deep Neural Networks 1-gen-2023 Dadras Javan FNajafi B. +