Intelligent Control and Management Systems for Energy-Efficient Buildings
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "G: Energy and Buildings".
Deadline for manuscript submissions: 30 August 2026 | Viewed by 124
Special Issue Editor
Interests: smart city and smart energy management; renewable energy systems; power electronics; energy conversion
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Buildings account for over one-third of global final energy consumption, yet traditional building energy systems remain plagued by issues of siloed operation, insufficient multi-energy complementarity, and weak grid interaction. These long-standing bottlenecks highlight an urgent demand for intelligent control, integrated optimization, and advanced information technologies to reshape the operation paradigm of modern energy-efficient buildings.
The Special Issue aims to enable real-time monitoring, predictive control, and holistic optimization of distributed multi-energy complementary energy networks, with a focus on breakthroughs in system architecture, edge-based intelligent operation, and flexible load–grid interaction. By fostering cross-disciplinary innovation, this issue will accelerate the development of low-carbon, grid-friendly buildings and support the transition to sustainable energy systems.
Topics of interest for publication include, but are not limited to, the following:
- Construction methods and technologies for building-oriented distributed multi-energy complementary energy networks ;
- BIPV modeling and prediction based on digital twin technology;
- Multi-energy complementary energy network intelligent operation and regulation based on edge computing;
- Building flexible performance and load flexible regulation potential assessment;
- Grid–load interaction and operation optimization of building distributed multi-energy complementary energy systems;
- Data-driven multi-energy collaborative optimization scheduling and load prediction algorithms;
- Practical engineering applications and case studies of building distributed multi-energy complementary energy networks;
- Fault detection, diagnosis, and predictive maintenance for multi-energy equipment in buildings;
- Multi-objective optimization considering energy efficiency, thermal comfort, and indoor air quality;
- Planning, sizing, and optimal configuration of distributed energy resources in building microgrids.
Dr. Yanmin Wang
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 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. 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-efficient buildings
- intelligent control systems
- multi-energy complementary networks
- distributed energy resources
- digital twin
- edge computing
- load flexibility
- grid-friendly operation
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