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Innovations in Low-Carbon Building Energy Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "G: Energy and Buildings".

Deadline for manuscript submissions: 24 November 2025 | Viewed by 282

Special Issue Editors


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Guest Editor
College of Architecture and Environment, Sichuan University, Chengdu 610065, China
Interests: low-carbon building energy system; multi-energy complementary integrated energy system; renewable energy utilization technology; hybrid ventilation technique; indoor air quality
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Guest Editor
School of Architecture and Planning, Hunan University, Changsha 410082, China
Interests: building simulation; intelligent building; built environment control; building energy saving
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Guest Editor
Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo 315100, China
Interests: smart and low-carbon buildings; data-driven and physics-based modeling and calibration of integrated energy systems; energy-efficient control and operation of industrial HVAC systems

Special Issue Information

Dear Colleagues,

Low-carbon building energy systems refer to building energy systems that adopt efficient and low-carbon energy technology and equipment to save energy, as well as to reduce and recycle greenhouse gas emissions during the entire life cycle of a building (including site selection, planning and design, construction, use management and demolition processes). Low-carbon building energy systems use high-performance energy equipment and systems to improve energy efficiency, reduce energy consumption and achieve high efficiency. At the same time, these systems actively use renewable energy sources, such as solar energy, wind energy, geothermal energy, etc., to reduce dependence on traditional fossil energy, reduce greenhouse gas emissions, and achieve a low-carbon status. Low-carbon building energy systems focus on energy recycling and sustainable development to attain sustainable energy use and overall sustainability. They are an important method of achieving the goal of "carbon peak and carbon neutrality" in the building field. By adopting efficient and low-carbon energy technologies and equipment, actively using renewable energy, conserving energy, and reducing and recycling emissions, the sustainable development of the construction industry can be promoted.

The main aim of this Special Issue is to explore the recent developments in low-carbon building energy systems. Topics include, but are not limited to, the following:

- New building energy-saving technology;
- Low- or zero-carbon building energy systems;
- Efficient energy conversion and storage technology;
- Renewable energy utilization technology;
- Multi-energy complementation and comprehensive utilization of energy technology;
- Energy management system optimization;
- Building carbon reduction technology.

Dr. Jun Wang
Prof. Dr. Rongpeng Zhang
Dr. Zhiang Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • building energy efficiency
  • low-carbon energy system
  • renewable energy utilization
  • multi-energy complementation
  • energy management

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Published Papers (1 paper)

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Research

27 pages, 3705 KiB  
Article
A Method for Selecting the Appropriate Source Domain Buildings for Building Energy Prediction in Transfer Learning: Using the Euclidean Distance and Pearson Coefficient
by Chuyi Luo, Liang Xia and Sung-Hugh Hong
Energies 2025, 18(14), 3706; https://doi.org/10.3390/en18143706 - 14 Jul 2025
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Abstract
Building energy prediction faces challenges such as data scarcity while Transfer Learning (TL) demonstrates significant potential by leveraging source building energy data to enhance target building energy prediction. However, the accuracy of TL heavily relies on selecting appropriate source buildings as the source [...] Read more.
Building energy prediction faces challenges such as data scarcity while Transfer Learning (TL) demonstrates significant potential by leveraging source building energy data to enhance target building energy prediction. However, the accuracy of TL heavily relies on selecting appropriate source buildings as the source data. This study proposes a novel, easy-to-understand, statistics-based visualization method that combines the Euclidean distance and Pearson correlation coefficient for selecting source buildings in TL for target building electricity prediction. Long Short-Term Memory, the Gated Recurrent Unit, and the Convolutional Neural Network were applied to verify the appropriateness of the source domain buildings. The results showed the source building, selected via the method proposed by this research, could reduce 65% of computational costs, while the RMSE was approximately 6.5 kWh, and the R2 was around 0.92. The method proposed in this study is well suited for scenes requiring rapid response times and exhibiting low tolerance for prediction errors. Full article
(This article belongs to the Special Issue Innovations in Low-Carbon Building Energy Systems)
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