Behzad Najafi

Behzad Najafi

Politecnico di Milano

H-index: 24

Europe-Italy

About Behzad Najafi

Behzad Najafi, With an exceptional h-index of 24 and a recent h-index of 20 (since 2020), a distinguished researcher at Politecnico di Milano, specializes in the field of Simulation & optimization of Energy Systems, Smart Buildings, Machine Learning, Energy Flexibility.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Roadmap for Improving Warehouse Environmental Sustainability: The Case of a Conditioned Logistics Facility for Medical Devices

Simplified finite volume-based dynamic modeling, experimental validation, and data-driven simulation of a fire-tube hot-water boiler

Machine-Learning-Based Prediction of HVAC-Driven Load Flexibility in Warehouses

Handling complete short-term data logging failure in smart buildings: Machine learning based forecasting pipelines with sliding-window training scheme

Predicting hvac-based demand flexibility in grid-interactive efficient buildings utilizing deep neural networks

Advances in Machine-Learning Based Disaggregation of Building Heating Loads: A Review

Modulating the HVAC demand of a wharehouse to provide load flexibility for charging electric trucks

Machine learning-based estimation of buildings' characteristics employing electrical and chilled water consumption data: Pipeline optimization

Behzad Najafi Information

University

Position

DataOptima Lab Dept. of Energy

Citations(all)

2648

Citations(since 2020)

1641

Cited By

1675

hIndex(all)

24

hIndex(since 2020)

20

i10Index(all)

32

i10Index(since 2020)

30

Email

University Profile Page

Politecnico di Milano

Google Scholar

View Google Scholar Profile

Behzad Najafi Skills & Research Interests

Simulation & optimization of Energy Systems

Smart Buildings

Machine Learning

Energy Flexibility

Top articles of Behzad Najafi

Title

Journal

Author(s)

Publication Date

A Roadmap for Improving Warehouse Environmental Sustainability: The Case of a Conditioned Logistics Facility for Medical Devices

Luca Cannava

Sara Perotti

Behzad Najafi

Fabio Rinaldi

Emanuele Mazzilli

2024/2/14

Simplified finite volume-based dynamic modeling, experimental validation, and data-driven simulation of a fire-tube hot-water boiler

Sustainable Energy Technologies and Assessments

Marco Tognoli

Shayan Keyvanmajd

Behzad Najafi

Fabio Rinaldi

2023/8/1

Machine-Learning-Based Prediction of HVAC-Driven Load Flexibility in Warehouses

Energies

Farzad Dadras Javan

Italo Aldo Campodonico Avendano

Behzad Najafi

Amin Moazami

Fabio Rinaldi

2023/7/16

Handling complete short-term data logging failure in smart buildings: Machine learning based forecasting pipelines with sliding-window training scheme

Energy and Buildings

Demetrios N Papadopoulos

Farzad Dadras Javan

Behzad Najafi

Alireza Haghighat Mamaghani

Fabio Rinaldi

2023/12/15

Predicting hvac-based demand flexibility in grid-interactive efficient buildings utilizing deep neural networks

PROCEEDINGS EUROPEAN COUNCIL FOR MODELLING AND SIMULATION

IA Campodonico Avendano

Amin Moazami

F Dadras Javan

Behzad Najafi

2023

Advances in Machine-Learning Based Disaggregation of Building Heating Loads: A Review

Synne Krekling Lien

Behzad Najafi

Jayaprakash Rajasekharan

2023/12/2

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

2023

Machine learning-based estimation of buildings' characteristics employing electrical and chilled water consumption data: Pipeline optimization

Energy and Buildings

Farhang Raymand

Behzad Najafi

Alireza Haghighat Mamaghani

Amin Moazami

Fabio Rinaldi

2023/9/15

Handbook of smart energy systems

Michel Fathi

Enrico Zio

Panos M Pardalos

2023/8/4

Reduced FV modelling based on CFD database and experimental validation for the thermo-fluid dynamic simulation of flue gases in horizontal fire-tubes

International Journal of Heat and Mass Transfer

Alessandro Morelli

Marco Tognoli

Antonio Ghidoni

Behzad Najafi

Fabio Rinaldi

2022/9/15

Application of machine learning in occupant and indoor environment behavior modeling: Sensors, methods, and algorithms

Farzad Dadras Javan

Hamed Khatam Bolouri Sangjoeei

Behzad Najafi

Alireza Haghighat Mamaghani

Fabio Rinaldi

2022/3/31

Benchmarking clear sky and transposition models for solar irradiance estimation on vertical planes to facilitate glazed facade design

Energy and Buildings

Debayan Paul

Giuseppe De Michele

Behzad Najafi

Stefano Avesani

2022/1/15

Reduced Thermal-hydraulic Model of Flue Gases in Horizontal Fire Tubes with Helical Coil Inserts Employing a CFD Simulated Database

Available at SSRN 4210318

Marco Tognoli

Alessandro Morelli

Behzad Najafi

Fabio Rinaldi

Antonio Ghidoni

2022/9/5

Energy efficiency and environmental impact reduction at logistics facilities: conceptualization and development of a simulation-based assessment on real cases applications

EMANUELE MAZZILLI

Edoardo Gronda

2022

Development of IoT-driven Machine Learning based pipelines for predictive modelling of ramp-up and ramp-down processes in indoor environments aiming at energy efficiency …

ITALO ALDO CAMPODONICO AVENDANO

2022/7/21

Physical/data-driven dynamic modelling of fire-tube boilers and demand prediction aiming at adaptive optimization of the supply set-point condition

Marco Tognoli

2022

Deep learning-based pipelines for occupancy driven smart ramp-up implementation in commerical buildings

ARIAN MAGHSOUDNIA

2022/4/27

Heat Transfer Estimation in Flow Boiling of R134a within Microfin Tubes Utilizing Physics-Inspired Machine Learning

Available at SSRN 4175964

Shayan Milani

Keivan Ardam

Behzad Najafi

Luigi Pietro Maria Colombo

Andrea Lucchini

...

2022

Implementation of a multi-setpoint strategy for fire-tube boilers utilized in food and beverage industry: Estimating the fuel saving potential

Sustainable Energy Technologies and Assessments

Marco Tognoli

Behzad Najafi

Andrea Lucchini

Luigi Pietro Maria Colombo

Fabio Rinaldi

2022/10/1

Ramp-up duration estimation in a smart building utilizing sliding window-based machine learning

DAVID GARRIDO SALGADO

2022/4/27

See List of Professors in Behzad Najafi University(Politecnico di Milano)

Co-Authors

H-index: 31
Andrea Casalegno

Andrea Casalegno

Politecnico di Milano

H-index: 31
Giorgio Besagni

Giorgio Besagni

Politecnico di Milano

H-index: 25
Fabio Rinaldi

Fabio Rinaldi

Politecnico di Milano

H-index: 23
Alireza Haghighat Mamaghani

Alireza Haghighat Mamaghani

University of Waterloo

H-index: 19
Andrea Baricci

Andrea Baricci

Politecnico di Milano

H-index: 18
Stefano De Antonellis

Stefano De Antonellis

Politecnico di Milano

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