Advanced Building Performance Analysis
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: closed (20 October 2022) | Viewed by 11326
Special Issue Editor
Interests: building energy planning; energy efficiency in buildings; district heating; building energy supply
Special Issue Information
Dear Colleagues,
The Guest Editors are inviting submissions to a Special Issue of Buildings on the subject area of “Advanced Building Performance Analysis”. Intelligent and advanced use of Building Energy Measurement System (BEMS) or any other monitoring and sensing system in buildings for energy efficiency and improvement in thermal comfort has been highly recognized, but still not fully utilized due to different reasons. Digitalization of the building service systems as well as the development of artificial intelligence are giving new opportunities for improved energy efficiency and thermal comfort in buildings. Different methods are available to analyze and handle building data, like regression methods, probabilistic methods, neutral networks, and data mining techniques. They may be used for both prediction, and fault detection and diagnosis. The rapid development in machine learning and artificial intelligence has provided advanced data analytics to tackle prediction and data analysis problems in a more flexible, convenient, and efficient way.
This Special Issue will deal with implementation of the existing and new methods to analyze and handle building data for improved energy efficiency, better thermal comfort, operation optimization, and better control, prediction, fault detection and diagnosis, etc. Topics of interest for publication include, but are not limited to:
- Digitalization of building service systems
- Existing and new statistical methods to handle building data
- Advanced building analyses for prediction of building energy performance
- Advanced building data analyses for improved operation and control of buildings
- New statistical methods for single building analyses and prediction
- New statistical methods for building group analyses and prediction
- Digitalization for better demand side management
Prof. Dr. Natasa Nord
Guest Editor
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. Buildings is an international peer-reviewed open access monthly 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
- digitalization
- artificial intelligence and data mining methods
- building service systems
- building performance prediction
- building performance optimization
- fault detection and diagnosis
- energy planning