20
Jan
2021
Paper Submission Deadline
28
Feb
2021
Publishing Date

Add to Calendar 01/20/2021 08:00 Europe/Rome Smart Grid Technologies

Smart grids, still being the future perspective of electric distribution grids, are also the real and actual implementation of the evolution of these grids. There are many factors that foster this realization and the enabling technologies play a fundamental role in this process. The fields in which these technologies can be applied are widespread and the ways in which they are deployed define the actual instance of the smart grid concept. The targeted objectives are directly related to the improvement of the energy usage (e.g., sustainability, efficiency, reliability, and quality of service) or to a smarter management of the grids by distribution system operators (e.g., maintenance, reconfiguration, and workforce management). Some of the examples of these technologies are the smart meters, energy storage devices, including electric vehicles, together with the algorithm used to manage them, the communication systems and their usage to control the players in the grids, IoT and artificial intelligence applications. In this context, regulatory and economic issues should be considered, and suitably addressed. Our aim is to bring together scientists and researchers to publish their experimental and advanced research results on the application on smart grid technologies.
Keywords: smart grid; IoT; artificial intelligence; energy storage; electric vehicles; optimal control; predictive control; predictive maintenance; optimal planning; smart meter.

Switzerland
CALL FOR PAPERS
Code: CFP-CT105-SI5_2021
Posting date: 07/11/2020

Smart Grid Technologies


Aims and Scope

Smart grids, still being the future perspective of electric distribution grids, are also the real and actual implementation of the evolution of these grids. There are many factors that foster this realization and the enabling technologies play a fundamental role in this process. The fields in which these technologies can be applied are widespread and the ways in which they are deployed define the actual instance of the smart grid concept. The targeted objectives are directly related to the improvement of the energy usage (e.g., sustainability, efficiency, reliability, and quality of service) or to a smarter management of the grids by distribution system operators (e.g., maintenance, reconfiguration, and workforce management). Some of the examples of these technologies are the smart meters, energy storage devices, including electric vehicles, together with the algorithm used to manage them, the communication systems and their usage to control the players in the grids, IoT and artificial intelligence applications. In this context, regulatory and economic issues should be considered, and suitably addressed. Our aim is to bring together scientists and researchers to publish their experimental and advanced research results on the application on smart grid technologies.
Keywords: smart grid; IoT; artificial intelligence; energy storage; electric vehicles; optimal control; predictive control; predictive maintenance; optimal planning; smart meter.

Languages
English
Country
Switzerland
Topics
Artificial Intelligence, Big Data, Clean Technologies, Data Management, Data Sensing and Analysis, Decision Support Systems, Development Economics, Digital Technologies, Ecology, Ecosystems, Energy Efficiency, Energy Production, Energy Storage, Environmental Impact, Green Infrastructures, Green Mobility, ICT, Industrial Engineering, Industry 4.0, Innovative Technologies, Interdisciplinary Approach, Internet of Things (IoT), Machine Learning, Methodology, Modeling, Monitoring, Nature-based Solutions, Performance Evaluation, Performance-based Design, Process Innovation, Process Management, Process Modeling and Simulation, Renewable Energy, Renewable Resources, SDGs 2030, Smart Cities, Smart Grids, Sustainability, Sustainable Cities, Sustainable Development, Sustainable Energy, Urban Development
Review process
The Journal adopts double-blind peer review process
Indexed By

DOAJ – Directory of Open Access Journals, CLOCKSS (Digital Archive), e-Helvetica (Swiss National Library Digital Archive), Academic OneFile (Gale/Cengage Learning), Google Scholar, J-Gate (Informatics India), Science In Context (Gale/Cengage Learning).

APC

Info at: www.mdpi.com/journal/cleantechnol/apc

Submit by website
Call webpage
Additional Notice from the Editor

Guest Editors
Prof. Dr. Samuele Grillo
Dr. Francesco Conte