Fabio Rinaldi

Fabio Rinaldi

Politecnico di Milano

H-index: 25

Europe-Italy

About Fabio Rinaldi

Fabio Rinaldi, With an exceptional h-index of 25 and a recent h-index of 22 (since 2020), a distinguished researcher at Politecnico di Milano, specializes in the field of Thermodynamics, energy, fuel cells, engineering, genetic algorithm.

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

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

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

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

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

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

Fabio Rinaldi Information

University

Position

Associate Professor

Citations(all)

2563

Citations(since 2020)

1680

Cited By

1592

hIndex(all)

25

hIndex(since 2020)

22

i10Index(all)

37

i10Index(since 2020)

33

Email

University Profile Page

Politecnico di Milano

Google Scholar

View Google Scholar Profile

Fabio Rinaldi Skills & Research Interests

Thermodynamics

energy

fuel cells

engineering

genetic algorithm

Top articles of Fabio Rinaldi

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

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

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

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

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

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

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

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

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 …

Chemical Engineering Research and Design

Behzad Najafi

Keivan Ardam

Andrej Hanušovský

Fabio Rinaldi

Luigi Pietro Maria Colombo

2021/3/1

Building characterization through smart meter data analytics: Determination of the most influential temporal and importance-in-prediction based features

Energy and Buildings

Behzad Najafi

Monica Depalo

Fabio Rinaldi

Reza Arghandeh

2021/3/1

Machine learning based pressure drop estimation of evaporating R134a flow in micro-fin tubes: Investigation of the optimal dimensionless feature set

International Journal of Refrigeration

Keivan Ardam

Behzad Najafi

Andrea Lucchini

Fabio Rinaldi

Luigi Pietro Maria Colombo

2021/11/1

A 0D-3D approach for numerical analysis of waste to energy plants: a case study

Journal of Physics: Conference Series

F Arpino

G Cortellessa

L Canale

M Dell’Isola

G Ficco

...

2021/4/1

Economic feasibility analysis and optimization of hybrid renewable energy systems for rural electrification in Peru

Clean technologies and environmental policy

Fabio Rinaldi

Farzad Moghaddampoor

Behzad Najafi

Renzo Marchesi

2021/4

A hydrocarbon production system multi-objective optimization

Joseph Rizzo Cascio

Francesco Di Maio

Amalia Bianco

Sergio Ritondale

Luca Cadei

...

2020/1/13

MOIRAE–bottom-up MOdel to compute the energy consumption of the Italian REsidential sector: Model design, validation and evaluation of electrification pathways

Energy

Giorgio Besagni

Marco Borgarello

Lidia Premoli Vilà

Behzad Najafi

Fabio Rinaldi

2020/11/15

Machine learning based disaggregation of air‐conditioning loads using smart meter data

IET Generation, Transmission & Distribution

Behzad Najafi

Luca Di Narzo

Fabio Rinaldi

Reza Arghandeh

2020/11

Rapid fault diagnosis of PEM fuel cells through optimal electrochemical impedance spectroscopy tests

Energies

Behzad Najafi

Paolo Bonomi

Andrea Casalegno

Fabio Rinaldi

Andrea Baricci

2020/7/15

See List of Professors in Fabio Rinaldi University(Politecnico di Milano)

Co-Authors

H-index: 31
Andrea Casalegno

Andrea Casalegno

Politecnico di Milano

H-index: 24
Behzad Najafi

Behzad Najafi

Politecnico di Milano

H-index: 23
Alireza Haghighat Mamaghani

Alireza Haghighat Mamaghani

University of Waterloo

H-index: 18
Stefano De Antonellis

Stefano De Antonellis

Politecnico di Milano

H-index: 18
Luigi Pietro Maria Colombo

Luigi Pietro Maria Colombo

Politecnico di Milano

H-index: 14
Matteo Zago

Matteo Zago

Politecnico di Milano

academic-engine