Massimiliano Manfren

About Massimiliano Manfren

Massimiliano Manfren, With an exceptional h-index of 30 and a recent h-index of 27 (since 2020), a distinguished researcher at University of Southampton, specializes in the field of energy efficiency, renewable energy, sustainability.

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

Interpretable Data-Driven Methods for Building Energy Modelling—A Review of Critical Connections and Gaps

Probabilistic modelling of seasonal energy demand patterns in the transition from natural gas to hydrogen for an urban energy district

Energy Signature Modeling Towards Digital Twins – Lessons Learned From a Case Study With TRV and GAHP Technologies

Interpretable data-driven methods from building design to operation-HEART project case study

Interpretable data-driven building load profiles modelling for Measurement and Verification 2.0

Parametric simulations to evaluate occupants' behavior incidence on building energy performance-A Passive House case study

Lean and interpretable digital twins for building energy monitoring–A case study with Smart Thermostatic Radiator Valves and Gas Absorption Heat Pumps

Innovation and knowledge-based growth for low carbon transitions in the built environment. Challenges and open research questions

Massimiliano Manfren Information

University

Position

Lecturer Faculty of Engineering and Physical Sciences

Citations(all)

3317

Citations(since 2020)

2269

Cited By

1834

hIndex(all)

30

hIndex(since 2020)

27

i10Index(all)

47

i10Index(since 2020)

44

Email

University Profile Page

Google Scholar

Massimiliano Manfren Skills & Research Interests

energy efficiency

renewable energy

sustainability

Top articles of Massimiliano Manfren

Title

Journal

Author(s)

Publication Date

Interpretable Data-Driven Methods for Building Energy Modelling—A Review of Critical Connections and Gaps

Massimiliano Manfren

Karla M Gonzalez-Carreon

Patrick AB James

2024/2/14

Probabilistic modelling of seasonal energy demand patterns in the transition from natural gas to hydrogen for an urban energy district

International Journal of Hydrogen Energy

Massimiliano Manfren

Karla M Gonzalez-Carreon

AbuBakr S Bahaj

2024/1/2

Energy Signature Modeling Towards Digital Twins – Lessons Learned From a Case Study With TRV and GAHP Technologies

Massimiliano Manfren

Maria Cristina Tommasino

Lamberto Tronchin

2023/3/21

Interpretable data-driven methods from building design to operation-HEART project case study

M Manfren

C Del Pero

F Leonforte

N Aste

RS Adhikari

2023/6/27

Interpretable data-driven building load profiles modelling for Measurement and Verification 2.0

Energy

Massimiliano Manfren

Benedetto Nastasi

2023/11/15

Parametric simulations to evaluate occupants' behavior incidence on building energy performance-A Passive House case study

Massimiliano Manfren

Maria Cristina Tommasino

Lamberto Tronchin

2023/6/6

Lean and interpretable digital twins for building energy monitoring–A case study with Smart Thermostatic Radiator Valves and Gas Absorption Heat Pumps

Energy and AI

Massimiliano Manfren

Patrick AB James

Victoria Aragon

Lamberto Tronchin

2023/10/1

Innovation and knowledge-based growth for low carbon transitions in the built environment. Challenges and open research questions

Rivista Tema, 09(01). https://doi.org/10.30682/tema0901c

Massimiliano Manfren

2023/5

How does a storytelling intervention influence students’ behaviour during a school overheating event

Yu Gao

Patrick James

Michael Chater

Azadeh Montazami

Stephanie Gauthier

...

2023/9/15

Data-Driven Building Energy Modelling – Generalisation Potential of Energy Signatures Through Interpretable Machine Learning

Massimiliano Manfren

Maria Cristina Tommasino

Lamberto Tronchin

2023/3/21

Acceptability of heat pump energy deferral for mitigating peak electricity demands: findings from a UK field trial

Philip Turner

Tom Rushby

Patrick James

Stephanie Gauthier

Massimiliano Manfren

...

2023/8/16

The Amintore Galli Theatre in Rimini: A Dataset of Building Simulation Tools for its Acoustic Design

Antonella Bevilacqua

Massimiliano Manfren

Maria Cristina Tommasino

Ruoran Yan

Lamberto Tronchin

2023/3/21

Normalisation of measured energy consumption to inform both design and operational decisions

Massimiliano Manfren

Giorgia Marenzi

Lavinia Chiara Tagliabue

Giuseppe Martino Di Giuda

Marta Boscariol

2023/7/10

Data-driven building energy modelling–An analysis of the potential for generalisation through interpretable machine learning

Massimiliano Manfren

Patrick AB James

Lamberto Tronchin

2022/10/1

Data-driven load profile modelling for advanced measurement and verification (M&V) in a fully electrified building

Building and Environment

Benedetto Nastasi

Massimiliano Manfren

Daniele Groppi

Mario Lamagna

Francesco Mancini

...

2022/8/1

Envisioning Building-as-Energy-Service in the European context. From a literature review to a conceptual framework

Maurizio Sibilla

Massimiliano Manfren

2022/7/4

Long-term techno-economic performance monitoring to promote built environment decarbonisation and digital transformation—A case study

Sustainability

Massimiliano Manfren

Lavinia Chiara Tagliabue

Fulvio Re Cecconi

Marco Ricci

2022/1/7

On the acoustics of the Teatro 1763 in Bologna

Applied Acoustics

Lamberto Tronchin

Francesca Merli

Massimiliano Manfren

2021/1/15

Future (p) roof: building resilience of the UK’s roofs for a changing climate

Patrick James

Massimiliano Manfren

2021/12/17

Techno-economic analysis and energy modelling as a key enablers for smart energy services and technologies in buildings

Massimiliano Manfren

Benedetto Nastasi

Lamberto Tronchin

Daniele Groppi

Davide Astiaso Garcia

2021/10/1

See List of Professors in Massimiliano Manfren University(University of Southampton)

Co-Authors

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