Building Simulation - Call for Papers: Special Issue on Data-Driven Building Energy Management Technologies that Integrate Physical Knowledge
Dear Colleagues,
Advanced data analytical techniques based on data-driven and knowledge-driven methods have shown the ability in various building design and operation applications. The knowledge-driven method is developed based on physical mechanisms, which can be challenging in practice for high-complexity building systems. Data-driven methods have become a more feasible solution as they require little a priori knowledge of buildings. However, pure black-box models tend to overfit on small datasets and may not generalize well beyond the training dataset. Therefore, developing data-driven models combined with domain knowledge can effectively leverage advantages offered by data-driven methods and physical laws, which provide good interpretability and high accuracy.
The present special issue aims to gather review papers and original research articles that adopted data-driven technologies integrated domain knowledge in building and urban scales.
The scope of this special issue includes, but is not limited to, the following topics:
- Model predictive control for building applications
- Occupant-centric building control
- Fault detection and diagnosis
- Building-grid integration
- Energy flexible buildings
- Reinforcement learning for building controls
- Building performance evaluation
- Modeling of multi-component systems in buildings
- Image, textual data, and other unstructured data in buildings
- Big data in the built environment
The peer review process of the submissions for this special issue is the same as the peer review process of the journal in general. Additionally, if the guest editor(s) authors an article in the special issue, they will not handle the peer review process. Upon its acceptance, the paper will go into production immediately. It will be published in the latest regular issue and presented on the specific Topical Collection webpage simultaneously. In regular issues, Topical Collection articles will be clearly marked.
We sincerely invite you to submit your original work to this special issue and are looking forward to sharing your outstanding research outcomes with peers around the world.
Paper submissions: When preparing your manuscript, please follow the Instructions for Authors of Building Simulation, which can be downloaded from the journal website (https://www.springer.com/journal/12273 (this opens in a new tab)).
Submit your paper online at https://www.editorialmanager.com/buil (this opens in a new tab) and mark “Data-Driven Building Energy Management Technologies that Integrate Physical Knowledge” in your manuscript.
Submission deadline: April 30, 2025
Co-guest Editors: | Editorial Office |
Clayton Miller, National University of Singapore, Singapore E-mail: clayton@nus.edu.sg (this opens in a new tab) Xue Liu, Southwest Jiaotong University, China E-mail: liuxue@swjtu.edu.cn (this opens in a new tab) Yang Geng, Tsinghua University, China |