Data-Driven Approaches for Building Energy Assessment and Sustainable Retrofit
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Energy, Physics, Environment, and Systems".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 3
Special Issue Editors
Interests: machine learning and causal inference technologies in cross-cutting issues such as energy consumption, climate change, and economy, society, and population; urban sustainable development; urban modeling
Special Issue Information
Dear Colleagues,
The building sector is a core contributor to global energy consumption and carbon emissions, and its energy intensity directly impacts progress towards carbon peak and neutrality goals and urban sustainable development. With the rapid advancement of IoT, big data, and artificial intelligence technologies, data-driven approaches offer novel perspectives for precise building energy assessments, operational optimization, and the formulation of renovation strategies, effectively enhancing the accuracy of energy consumption prediction and the effectiveness of retrofit measures.
This Special Issue aims to compile the latest research findings and reviews on data-driven approaches in building energy consumption assessment, diagnostic analysis, energy-saving potential identification, and sustainable retrofit strategies. Research areas may include (but are not limited to) the following:
- Multi-source energy consumption data processing technologies.
- Data-driven building energy assessment methods and models.
- Construction and optimization of data-driven building energy prediction models.
- Applications of big data and artificial intelligence in building energy efficiency.
- Technologies for monitoring and optimizing building energy efficiency.
- Carbon emissions accounting and low-carbon retrofit pathways.
- Sustainable design and technologies in building retrofits.
- Energy consumption simulation for regional building clusters.
Dr. Jinxin Gao
Dr. Yanyan Ke
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 250 words) can be sent to the Editorial Office for assessment.
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. Buildings 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
- data-driven
- energy assessment
- energy prediction
- sustainable retrofitting
- carbon emissions
- low-carbon buildings
- retrofitting strategies
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