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Special Issue "Artificial Intelligence in Smart Buildings"
Deadline for manuscript submissions: 31 May 2020.
Interests: Computational Intelligence and Evolutionary computation, Fuzzy systems, Fuzzy control and modelling, Fuzzy cognitive maps and Petri nets in decision support systems, Intelligent control, Time series prediction, Automation systems in renewable energy resources, Intelligent energy management systems and smart buildings, Design and management of autonomous smart micro grids, Power electronics in photovoltaic systems, Control electrochromic devices, Modelling and control of reverse osmosis desalination
Special Issues and Collections in MDPI journals
Special Issue in Energies: Intelligent Control in Energy Systems
Special Issue in Energies: Intelligent Decentralized Energy Management in Microgrids
Special Issue in Algorithms: Algorithms for PID Controller 2019
Special Issue in Energies: Intelligent Control in Energy Systems Ⅱ
Interests: artificial intelligence; computational intelligence; optimization; intelligent control; automation; energy management; sustainable energy sources; information technology systems; smart grids
Nowadays, global warming is encouraging many researchers to focus on smart energy solutions to deal with the problem of climate change. All over the world there are myriads of buildings that consume energy for space heating and cooling, indoor lighting, etc., which burden global warming even more. The challenge of reducing the energy requirements of a building in conjunction with maintaining or even improving the quality of the indoor environment leads to the combination of different technologies for developing “smart buildings”. The term “smart buildings” refers to buildings that use various technologies to communicate their systems in order to optimize their performance. A smart building uses sensors for online monitoring, gathers data to analyze its own energy use, and applies automated techniques to adjust the conditions throughout the entire building. The quality of life in buildings is determined by three basic factors: Thermal comfort, visual comfort, and indoor air quality. The optimization of performance mainly lies in the optimal living conditions for the occupants, the reduction of building expenses, and the reduction of energy consumption which burdens the environment.
With recent advances in artificial intelligence, energy and the built environment are becoming more and more closely linked. The term “artificial intelligence” refers to intelligence demonstrated by machines that perform cognitive functions associated with the human minds. The concept is related to machines that process large amounts of information either using historical data or data acquired via interaction with the environment, and which continually learn through the consequences of action–result combinations. Artificial techniques can be used in smart buildings in order to improve their performance in a fully automated concept. Artificial intelligence systems can process the information acquired by sensors, learn from patterns by historical data or learn online by interacting with the built environment. The acquired knowledge can be used to make either predictions or making decisions for solving problems concerning efficient energy management and the optimization of the inhabitants’ comfort.
This Special Issue encourages authors from both industry and academia to develop advanced artificial intelligence approaches in smart buildings and submit original research papers contributing to the aforementioned challenges.
Prof. Dr. Anastasios Dounis
Dr. Panagiotis Kofinas
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 papers will be 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. Applied Sciences 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 1500 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.
- Smart buildings
- Buildings and microgrids
- Artificial general intelligence
- Machine learning
- Demand forecasting
- Neural networks
- Fuzzy logic systems
- Intelligent energy management
- Pattern recognition
- Distributed AI
- Reinforcement learning
- Evolutionary computing
- Muliti-agent systems in building control
- Management of indoor microclimates
- Indoor air quality management
- Internet of things
- Game theory