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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the professor, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information on professor
ProfessorNajafi Behzad
QualificationAssociate professor full time
Belonging DepartmentDipartimento di Energia
Scientific-Disciplinary SectorING-IND/10 - Thermal Engineering And Industrial Energy Systems
Curriculum VitaeDownload CV (323.41Kb - 27/08/2022)
OrcIDhttps://orcid.org/0000-0003-4405-2956

Contacts
Professor's office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
Sede di Piacenza--Via ScalabriniWednesdayFrom 14:00
To 16:00
----With Appointment
Sede di Piacenza--Via scalabriniThursdayFrom 16:30
To 17:30
----With Appointment
E-mailbehzad.najafi@polimi.it
Professor's personal websitewww.dataoptimalab.it

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2024
No product yet registered in the year 2024


List of publications and reserach products for the year 2023 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
Assessing the impact of smart lighting systems and on-site renewable generation in a distribution warehouse: a simulation-based approach (Show >>)
Modulating the HVAC demand of a wharehouse to provide load flexibility for charging electric trucks (Show >>)
Predicting HVAC-based Demand Flexibility in Grid-interactive Efficient Buildings Utilizing Deep Neural Networks (Show >>)
Journal Articles
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 (Show >>)
Handling complete short-term data logging failure in smart buildings: Machine learning based forecasting pipelines with sliding-window training scheme (Show >>)
Machine learning-based estimation of buildings' characteristics employing electrical and chilled water consumption data: Pipeline optimization (Show >>)
Machine-Learning-Based Prediction of HVAC-Driven Load Flexibility in Warehouses (Show >>)
Simplified finite volume-based dynamic modeling, experimental validation, and data-driven simulation of a fire-tube hot-water boiler (Show >>)


List of publications and reserach products for the year 2022 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
Benchmarking clear sky and transposition models for solar irradiance estimation on vertical planes to facilitate glazed facade design (Show >>)
Implementation of a multi-setpoint strategy for fire-tube boilers utilized in food and beverage industry: Estimating the fuel saving potential (Show >>)
Reduced FV modelling based on CFD database and experimental validation for the thermo-fluid dynamic simulation of flue gases in horizontal fire-tubes (Show >>)


List of publications and reserach products for the year 2021 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
Building characterization through smart meter data analytics: Determination of the most influential temporal and importance-in-prediction based features (Show >>)
Machine learning based models for pressure drop estimation of two-phase adiabatic air-water flow in micro-finned tubes: Determination of the most promising dimensionless feature set (Show >>)
Machine learning based pressure drop estimation of evaporating R134a flow in micro-fin tubes: Investigation of the optimal dimensionless feature set (Show >>)


List of publications and reserach products for the year 2020 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A hydrocarbon production system multi-objective optimization (Show >>)
Journal Articles
Economic Feasibility Analysis and Optimization of Hybrid Renewable Energy Systems for Rural Electrification in Peru (Show >>)
MOIRAE – bottom-up MOdel to compute the energy consumption of the Italian REsidential sector: Model design, validation and evaluation of electrification pathways (Show >>)
Machine learning based disaggregation of airconditioning loads using smart meter data (Show >>)
Rapid Fault Diagnosis of PEM Fuel Cells through Optimal Electrochemical Impedance Spectroscopy Tests (Show >>)
manifesti v. 3.5.17 / 3.5.17
Area Servizi ICT
20/04/2024