Smart Buildings: Controls and Data Analytics for Optimization of Energy Efficiency
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "G: Energy and Buildings".
Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 667
Special Issue Editor
Interests: building automation and control; artificial intelligence; energy efficient buildings; Internet of Things; demand-side management; data science; computer science
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Energy efficiency in smart buildings encompasses efficient operation as well as the provisioning of energy flexibility to the surrounding energy infrastructure. These measures can be achieved by advanced building controls and by the ability to analyze and understand the data that building operations create.
This Special Issue invites research in the areas of innovative building control approaches and all areas of data analytics in buildings, especially including work on the link of digital planning data (BIM—building information modeling) and dynamic operation data from heterogeneous data sources (building automation, IoT technology, and others).
Machine learning, data analytics, and building ontologies that support a better understanding are necessary methods to organize the existing building data and are also invited for submission.
Dr. Gerhard Zucker
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. 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
- Energy efficiency in building services
- Demand-side management (DSM)
- Advanced building controls
- Machine learning and AI for building operations
- Building ontologies
- Model predictive control (MPC)
- Data analytics in IoT
- Building information modeling (BIM)
- Data-driven modeling
- Controls optimization methods
- Methods for optimization of building performance
