Special Issue "Energy Management Based on IoT"
Deadline for manuscript submissions: 15 May 2022.
Interests: smart home; smart space; business and service model in smart home; Internet of Things; sustainability of human beings
Special Issues, Collections and Topics in MDPI journals
Special Issue in Sensors: Smart Energy and Cities in the IoT Era
Special Issue in Sensors: Smart Energy City with AI, IoT and Big Data
Currently, many intelligent services are emerging for energy management in homes, buildings, and cities in order to realize a sustainable society worldwide. However, there are challenges to implementing an innovative and advanced active sustainable energy society. Currently, it is limited to simple energy saving based on stand-alone, only by controlling simple passive elements (simple air conditioning scheduling and algorithms, replacement of old equipment, etc.).
Accordingly, suggestions are being made to achieve more intelligent energy saving by applying IoT (Internet of Things), AI (artificial intelligence), and cloud technology to build a smart environment based on new ICT technology. IoT, AI, and cloud technology analyse and predict energy data to be used in the future, and establish appropriate energy saving policies to apply various technologies for energy optimization management.
This call for papers proposes an active and dynamic scheduling algorithm that collects, analyses, and infers energy data, and intelligently saves energy in a smart space based on IoT, AI, and cloud technology. It is necessary to propose energy saving plans in various regional, environmental, and service aspects, such as the home, buildings, and cities, by applying this algorithm. This method collects energy data based on IoT installed in a smart space, analyses/infers data based on artificial intelligence, and provides future energy saving system policies. The following shows detailed descriptions related to this.
IoT-based intelligent energy data analysis technology
- IoT-, edge-, and cloud-based intelligent energy data collection, management, and processing technology
- Smart energy digital twins for intelligent energy data modelling and simulation
- AI-based intelligent data analysis algorithms
Distributed energy IoT-based home/building energy management system
- Distributed energy IoT-based intelligent home/building energy management system and application services
- Small community connection model based on smart edge technology
- Cloud-based large-scale smart energy city platform for efficient energy management
Distributed energy IoT-based smart energy city model
- Intelligent energy management model for the home community (households, apartments, etc.)
- Intelligent energy management model for the building community (small buildings, large buildings, factories, etc.)
- Intelligent energy management model in the city (new cities, residential complexes, industrial complexes, etc.)
Distributed energy IoT-based energy transaction service and business model
- Blockchain-based smart energy transaction system model for distributed energy resources
- Intelligent energy prosumer model linking renewable energy–ESS–smart building
- Intelligent V2G model linking renewable energy–ESS–EV
Smart energy IoT-based eco-friendly energy service and business model
- Smart energy IoT-based intelligent smart farm management systems
- Smart energy IoT-based smart green hydrogen systems
- Smart energy IoT-based intelligent (renewable energy–heat grid–smart farm–fuel cell, etc.) eco-friendly energy linkage model
IoT-related energy big data for small-platform to small-platform
- Small-platform to small-platform linkage model for intelligent linkage between energy elements and optimization for integrated energy management
- Small-platform to small-platform linkage system through energy big data analysis
- Energy optimization technology through energy big data map
- Small-platform customization technology for integrated energy platforms
Prof. Dr. Sehyun Park
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. Sensors 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.
- distributed energy-IoT (Internet of Things)
- EMS (energy management system)
- energy simulation
- renewable energy
- green energy
- active management
- smart space
- energy transaction system