E-LIB Suche - Ergebnisse für: Manfren, Massimiliano

1

Probabilistic modelling of seasonal energy demand patterns ..:

Manfren, Massimiliano ; Gonzalez-Carreon, Karla M ; Bahaj, Abu Bakr S
https://eprints.soton.ac.uk/481156/1/1_s2.0_S0360319923027544_main.pdf. , 2024

Link: https://eprints.soton.ac..

2

Interpretable data-driven building load profiles modelling ..:

Manfren, Massimiliano ; Nastasi, Benedetto
https://eprints.soton.ac.uk/481154/1/1_s2.0_S0360544223018844_main.pdf. , 2023

Link: https://eprints.soton.ac..

3

Lean and interpretable digital twins for building energy mo..:

Manfren, Massimiliano ; James, Patrick A.B ; Aragon, Victoria.
https://eprints.soton.ac.uk/483227/1/1_s2.0_S2666546823000769_main.pdf. , 2023

Link: https://eprints.soton.ac..

4

Innovation and knowledge-based growth for low carbon transi..:

Manfren, Massimiliano
https://eprints.soton.ac.uk/480205/1/d_2_288_TEMA_Vol9_No1_2023_10.30682tema0901c_MANFREN.pdf. , 2023

Link: https://eprints.soton.ac..

5

Energy signature modeling towards digital twins – lessons l..:

Manfren, Massimiliano ; Tommasino, Maria Cristina ; Tronchin, Lamberto
https://eprints.soton.ac.uk/480189/1/Energy_Signature_Modeling_Towards_Digital_Twins.pdf. , 2023

Link: https://eprints.soton.ac..

6

Lean and interpretable digital twins for building energy mo..:

Manfren, Massimiliano ; James, Patrick AB ; Aragon, Victoria.
info:eu-repo/semantics/altIdentifier/wos/WOS:001088481200001. , 2023

Link: https://hdl.handle.net/1..

7

Normalisation of measured energy consumption to inform both..:

Manfren, Massimiliano ; Marenzi, Giorgia ; Tagliabue, Lavinia Chiara..
info:eu-repo/semantics/altIdentifier/isbn/978-0-701702-73-1. , 2023

Link: https://hdl.handle.net/2..

8

Data-driven building energy modelling – An analysis of the ..:

Manfren, Massimiliano ; James, Patrick AB ; Tronchin, Lamberto
https://eprints.soton.ac.uk/468537/1/2022_09_05_Manfren_Data_driven_building_energy_modelling_clean.docx. , 2022

Link: https://eprints.soton.ac..

9

Long-term techno-economic performance monitoring to promote..:

Manfren, Massimiliano ; Tagliabue, Lavinia Chiara ; Re Cecconi, Fulvio.
https://eprints.soton.ac.uk/454273/1/sustainability_14_00644_v2.pdf. , 2022

Link: https://eprints.soton.ac..

10

Preface: a dataset of building simulation tools for its aco..:

Bevilacqua, Antonella ; Manfren, Massimiliano ; Tommasino, Maria Cristina..
https://eprints.soton.ac.uk/480196/1/The_Amintore_Galli_Theatre_in_Rimini.pdf. , 2022

Link: https://eprints.soton.ac..

11

Energy signature modeling towards digital twins – lessons l..:

Manfren, Massimiliano ; Tommasino, Maria Cristina ; Tronchin, Lamberto
https://eprints.soton.ac.uk/486166/1/9788860461919_31.pdf. , 2022

Link: https://eprints.soton.ac..

12

Data-driven building energy modelling – generalisation pote..:

Manfren, Massimiliano ; Tommasino, Maria Cristina ; Tronchin, Lamberto
https://eprints.soton.ac.uk/480175/1/Data_Driven_Building_Energy_Modelling_Generalisation_Potential.pdf. , 2022

Link: https://eprints.soton.ac..

13

Data-driven load profile modelling for advanced measurement..:

Nastasi, Benedetto ; Manfren, Massimiliano ; Groppi, Daniele...
https://eprints.soton.ac.uk/468534/1/Clean_Manuscript.docx. , 2022

Link: https://eprints.soton.ac..

14

The Amintore Galli Theatre in Rimini: a dataset of building..:

Bevilacqua, Antonella ; Manfren, Massimiliano ; Tommasino, Maria Cristina..
https://eprints.soton.ac.uk/485942/1/9788860461919_32.pdf. , 2022

Link: https://eprints.soton.ac..

15

Data-driven building energy modelling – generalisation pote..:

Manfren, Massimiliano ; Tommasino, Maria Cristina ; Tronchin, Lamberto
https://eprints.soton.ac.uk/485943/1/9788860461919_33.pdf. , 2022

Link: https://eprints.soton.ac..