Thomas Olofsson

About Thomas Olofsson

Thomas Olofsson, With an exceptional h-index of 34 and a recent h-index of 25 (since 2020), a distinguished researcher at Luleå tekniska Universitet, specializes in the field of Construction, management, simulation, BIM.

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

Sleep microenvironment improvement for the acute plateau entry population through a novel nasal oxygen supply system

Transfer the evaluation of energy-efficient building retrofitting: A Sweden-China empirical study

One-class anomaly detection through color-to-thermal AI for building envelope inspection

Multi-scale modeling in thermal conductivity of Polyurethane incorporated with Phase Change Materials using Physics-Informed Neural Networks

Stochastic interpretable machine learning based multiscale modeling in thermal conductivity of Polymeric graphene-enhanced composites

Transfer of building retrofitting evaluations for data-scarce conditions: An empirical study for Sweden to China

A literature review on life cycle analysis of buildings

A Data-Driven Exploration of the Relations between Occupant Behaviors and Comfort Performances of Energy-Efficient Measures

Thomas Olofsson Information

University

Position

___

Citations(all)

4057

Citations(since 2020)

2050

Cited By

3041

hIndex(all)

34

hIndex(since 2020)

25

i10Index(all)

77

i10Index(since 2020)

51

Email

University Profile Page

Google Scholar

Thomas Olofsson Skills & Research Interests

Construction

management

simulation

BIM

Top articles of Thomas Olofsson

Sleep microenvironment improvement for the acute plateau entry population through a novel nasal oxygen supply system

Building and Environment

2024/4/3

Transfer the evaluation of energy-efficient building retrofitting: A Sweden-China empirical study

Energy and Buildings

2024/3/4

One-class anomaly detection through color-to-thermal AI for building envelope inspection

arXiv preprint arXiv:2402.02963

2024/2/5

Multi-scale modeling in thermal conductivity of Polyurethane incorporated with Phase Change Materials using Physics-Informed Neural Networks

Renewable Energy

2024/1/1

Timon Rabczuk
Timon Rabczuk

H-Index: 85

Thomas Olofsson
Thomas Olofsson

H-Index: 23

Stochastic interpretable machine learning based multiscale modeling in thermal conductivity of Polymeric graphene-enhanced composites

Composite Structures

2024/1/1

Transfer of building retrofitting evaluations for data-scarce conditions: An empirical study for Sweden to China

Energy and Buildings

2024/5

A literature review on life cycle analysis of buildings

2023

Thomas Olofsson
Thomas Olofsson

H-Index: 23

Gireesh Nair
Gireesh Nair

H-Index: 11

A Data-Driven Exploration of the Relations between Occupant Behaviors and Comfort Performances of Energy-Efficient Measures

2023

Kailun Feng
Kailun Feng

H-Index: 6

Thomas Olofsson
Thomas Olofsson

H-Index: 23

Exploring the health and energy savings dilemma in swimming facilities and the potential influence of Positive Energy Districts

Journal of Physics: Conference Series

2023/12/1

Thomas Olofsson
Thomas Olofsson

H-Index: 23

Gireesh Nair
Gireesh Nair

H-Index: 11

Experimental study of micro-encapsulated phase change materials’ influence on indoor temperature

Journal of Physics: Conference Series

2023/12/1

Data-driven modelling of building retrofitting with incomplete physics: A generative design and machine learning approach

Journal of Physics: Conference Series

2023/12/1

Data-driven quantitative analysis of an integrated open digital ecosystems platform for user-centric energy retrofits: A case study in northern Sweden

Technology in Society

2023/11/1

Multiscale modeling of thermal properties in Polyurethane incorporated with phase change materials composites: A case study

arXiv preprint arXiv:2308.13123

2023/8/25

Chao Zhang
Chao Zhang

H-Index: 2

Yilin Qu
Yilin Qu

H-Index: 3

Thomas Olofsson
Thomas Olofsson

H-Index: 23

Automated machine learning-based framework of heating and cooling load prediction for quick residential building design

Energy

2023/7/1

Sihui Li
Sihui Li

H-Index: 1

Thomas Olofsson
Thomas Olofsson

H-Index: 23

An Exploratory Study on Swedish Stakeholders’ Experiences with Positive Energy Districts

Energies

2023/6/19

Thomas Olofsson
Thomas Olofsson

H-Index: 23

Gireesh Nair
Gireesh Nair

H-Index: 11

A data-driven framework for building energy benchmarking and renovation decision-making support in Sweden

IOP Conference Series: Earth and Environmental Science

2023/6/1

Enbart avstånd och handhygien räcker inte

2023/4/20

Covid 19 guidance for the Swedish construction and real estate sectors: results from a survey study

2023/4

A hybrid ensemble learning framework for zero-energy potential prediction of photovoltaic direct-driven air conditioners

Journal of Building Engineering

2023/4/1

Sihui Li
Sihui Li

H-Index: 1

Junhua Gu
Junhua Gu

H-Index: 1

Thomas Olofsson
Thomas Olofsson

H-Index: 23

Buildings post corona

2023/2

See List of Professors in Thomas Olofsson University(Luleå tekniska Universitet)

Co-Authors

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