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Behzad Najafi

Associate Professor

Politecnico di Milano

Italy

Research Interests

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Professors in Italy Professors in Energy Engineering Energy Engineering professors in Italy

Articles (20)

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2026

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2023

Collaborators (8)

SARA PEROTTI

Associate Professor

Politecnico di Torino

ITALY

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Kamilla Heimar Andersen

Aalborg University

DENMARK

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Amin Moazami

Associate Professor

Norwegian University of Science and Technology

NORWAY

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Mohammadreza Aghaei

Senior Scientist

Norwegian University of Science and Technology (NTNU)

NORWAY

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Igor Matteo Carraretto

Untenured Researcher

Politecnico di Milano

ITALY

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Fabio Rinaldi

Associate Professor

Politecnico di Milano

ITALY

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Zoltan Nagy

Professor and Chair

Eindhoven University of Technology

NETHERLANDS

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Diego Viesi

Researcher

Fondazione Bruno Kessler

ITALY

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Behzad Najafi

Research Interests

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Articles (20)

A multi-objective optimization approach in defining the decarbonization strategy of a district heating network: A case study of Oslo

Development of a Machine Learning-Driven HVAC Load Shifting Strategy to Facilitate Balancing Electric Vehicle Charging Load in a Logistics Node

Leveraging energy-efficiency and sustainability in industrial facilities: Simulation-based results with empirical insights

Enhancing self-consumption ratio in a smart microgrid by applying a reinforcement learning-based energy management system

A Simulation-Based Approach to Improve Energy Efficiency and Environmental Performance in Warehouses: The Case of IKEA

Implementation of predictive modelling-empowered HVAC-driven PV self-consumption Enhancement Strategies in a Warehouse

A novel framework for assessing the smartness and the smart readiness level in highly electrified non-residential buildings

Just-in-Time Morning Ramp-Up Implementation in Warehouses Enabled by Machine Learning-Based Predictive Modelling: Estimation of Achievable Energy Saving through Simulation

Estimating morning ramp-up duration for the cooling season in a smart building using machine learning: Determining most promising features

Pressure Drop Estimation of Two-Phase Adiabatic Flows in Smooth Tubes: Development of Machine Learning-Based Pipelines

Green warehousing practices: Assessing the impact of PV self-consumption enhancement strategies in a logistics warehouse

Heat Transfer Estimation in Flow Boiling of R134a within Microfin Tubes: Development of Explainable Machine Learning-Based Pipelines

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

Electricity demand flexibility estimation in warehouses using machine learning

Sustainable and Energy-Efficient Industrial Systems: Modelling the Environmental Impact of Logistics Facilities

Calibration and validation of physics-based data-driven models for simulating the thermal behavior of indoor spaces in an assisted living facility

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

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

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

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

Collaborators (8)

SARA PEROTTI

Kamilla Heimar Andersen

Amin Moazami

Mohammadreza Aghaei

Igor Matteo Carraretto

Fabio Rinaldi

Zoltan Nagy

Diego Viesi

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