Weizhuo Lu
Biographic Data
| ID | 6196992 |
|---|---|
| NAME | Weizhuo Lu |
| GIVEN NAMES | Weizhuo |
| FAMILY NAME | Lu |
| SIGNATURE | LU W |
| AFFILIATIONS | Umeå University |
| ORCID | 0000-0002-9569-8602 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
An improved attention-based deep learning approach for robust cooling load prediction
Space cooling in buildings is responsible for massive energy consumption and carbon emissions. Accurate cooling load prediction can facilitate the implementation of energy-efficiency cooling control strategies in practice. In this paper, an improved attention-based deep learning approach is proposed for robust ultra-short-term cooling load prediction. First, a novel time representation learning is introduced to extract the periodicity and non-per…
Data-driven quantitative analysis of an integrated open digital ecosystems platform for user-centric energy retrofits
This paper presents an open digital ecosystem based on a web-framework with a functional back-end server for user-centric energy retrofits. This data-driven web framework is proposed for building energy renovation benchmarking as part of an energy advisory service development for the V ̈asterbotten region, Sweden. A 4-tier architecture is developed and programmed to achieve users’ interactive design and visualization via a web browser. Six data-d…
Assessing environmental performance in early building design stage
Data-driven quantitative analysis of an integrated open digital ecosystems platform for user-centric energy retrofits
This paper presents an open digital ecosystem based on a web-framework with a functional back-end server for user-centric energy retrofits. This data-driven web framework is proposed for building energy renovation benchmarking as part of an energy advisory service development for the V ̈asterbotten region, Sweden. A 4-tier architecture is developed and programmed to achieve users’ interactive design and visualization via a web browser. Six data-d…
Assessing environmental performance in early building design stage
An improved attention-based deep learning approach for robust cooling load prediction
Space cooling in buildings is responsible for massive energy consumption and carbon emissions. Accurate cooling load prediction can facilitate the implementation of energy-efficiency cooling control strategies in practice. In this paper, an improved attention-based deep learning approach is proposed for robust ultra-short-term cooling load prediction. First, a novel time representation learning is introduced to extract the periodicity and non-per…
Data-driven quantitative analysis of an integrated open digital ecosystems platform for user-centric energy retrofits
This paper presents an open digital ecosystem based on a web-framework with a functional back-end server for user-centric energy retrofits. This data-driven web framework is proposed for building energy renovation benchmarking as part of an energy advisory service development for the V ̈asterbotten region, Sweden. A 4-tier architecture is developed and programmed to achieve users’ interactive design and visualization via a web browser. Six data-d…
Computer Science (3 works) · Artificial Intelligence (2 works) · Building Energy and Comfort Optimization (2 works) · Engineering (2 works) · Machine learning (2 works) · Air conditioning (1 work) · Architectural engineering (1 work) · Building Design (1 work) · Civil engineering (1 work) · Cluster analysis (1 work)