Lu Weizhuo

Lu Weizhuo

Umeå universitet

H-index: 17

Europe-Sweden

About Lu Weizhuo

Lu Weizhuo, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Umeå universitet, specializes in the field of BIM, big data, AI, urban energy modelling.

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

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

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

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

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

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

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

An improved attention-based deep learning approach for robust cooling load prediction: public building cases under diverse occupancy schedules

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

Lu Weizhuo Information

University

Position

Professor at Department of Applied Physics and Electronics .

Citations(all)

1019

Citations(since 2020)

796

Cited By

502

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

22

i10Index(since 2020)

21

Email

University Profile Page

Google Scholar

Lu Weizhuo Skills & Research Interests

BIM

big data

AI

urban energy modelling

Top articles of Lu Weizhuo

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

Energy and Buildings

2024/5

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

Energy and Buildings

2024/3/4

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

Composite Structures

2024/1/1

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

Renewable Energy

2024/1/1

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

An improved attention-based deep learning approach for robust cooling load prediction: public building cases under diverse occupancy schedules

Sustainable Cities and Society

2023/9/1

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

arXiv preprint arXiv:2308.13123

2023/8/25

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

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

Journal of Building Engineering

2023/4/1

Embedding ensemble learning into simulation-based optimisation: a learning-based optimisation approach for construction planning

Engineering, Construction and Architectural Management

2023/2/27

Al-DeMat: A web-based expert system platform for computationally expensive models in materials design

Advances in Engineering Software

2023/2/1

Multiscale modeling of Heat transfer in Polyurethane-Phase Change Materials composites

2023

Chapter Virtual Human-Building Interaction Experimentation Ontology (VHBIEO): A VHBIEO-Based Metadata-Driven Exploration

2023

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

2023

Ontology for experimentation of human-building interactions using virtual reality

Advanced Engineering Informatics

2023/1/1

Energy-efficient retrofitting under incomplete information: A data-driven approach and empirical study of sweden

Buildings

2022/8/15

Planning construction projects in deep uncertainty: A data-driven uncertainty analysis approach

Journal of Construction Engineering and Management

2022/8/1

Surrogate models in machine learning for computational stochastic multi-scale modelling in composite materials design

International Journal of Hydromechatronics

2022

Energy-efficient retrofitting with incomplete building information: a data-driven approach

2022

See List of Professors in Lu Weizhuo University(Umeå universitet)