Energy Management Systems and Networks for Smart Buildings
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".
Deadline for manuscript submissions: closed (30 July 2020) | Viewed by 2295
Special Issue Editors
Interests: computational intelligence and machine learning; building energy efficiency; cyber-physical systems; process modelling and forecasting; data-driven cybersecurity
Special Issue Information
Dear Colleagues,
Increased energy efficiency and decarbonization of the energy system have become primary objectives for many nations of the world. The ongoing building energy system transition aims to provide building owners/managers and energy operators with the ability to manage building energy resources in real time. Information and communication technology has reached a level of maturity that allows for cost-effective implementation of services, meters, and actuators that have the ability to unlock significant savings and energy flexibility in the existing building stock. Further, the growing electrification of heating, cooling, and domestic hot water production means that buildings can become a valuable resource to provide a substantial part of the electrical demand flexibility that is required to balance fluctuations of renewable energy sources in the electrical grid.
This Special Issue is dedicated to research that contributes to the development and broad uptake of large-scale smart energy management systems for smart buildings. This includes, but is not limited to, contributions from sensor networks and the internet of things, distributed systems and networks, cyber-physical systems, cloud and edge computing, cybersecurity, machine learning and artificial intelligence to manage local energy production, consumption and storage, electrical vehicle charging, appliances, and building demand response. We will consider simulation-based contributions, but preferably encourage work that includes the field testing of new technologies and approaches.
Prof. Pedro M. Ferreira
Prof. Guilherme Carrilho da Graça
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 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 2400 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
- Smart buildings
- Sensor networks and IoT
- Machine learning
- Energy efficiency and flexibility
- Thermal comfort
- Demand response
- Energy storage
- Dynamic pricing
- Building as a battery
