Energy Internet for Green Cities
A special issue of Future Internet (ISSN 1999-5903).
Deadline for manuscript submissions: closed (20 April 2020) | Viewed by 3662
Special Issue Editors
Interests: big data; wireless communications and networking; smart grid; energy internet; information security technologies
Interests: energy internet; energy management; smart grid; optimization algorithm
Special Issue Information
Dear Colleagues,
Energy crisis and carbon emission have recently become two issues of serious concern in green cities. As a feasible solution, Energy Internet has aroused global concern since it has been proposed. Energy Internet is a new power generation, developing a green vision of the evolution of smart grids into the internet. The communication infrastructure is an essential component for implementing the Energy Internet. A scalable and robust communication infrastructure is crucial in both operating and maintaining smart energy systems. This is vital to realizing green cities. However, the implementation and development of Energy Internet into green cities should take several challenges into account. For instance, in order to promote a green-energy-based city and realize the optimization of energy utilization, an advanced hybrid system should be designed for integrating highly scalable and distributed alternative energy generation sources with other available power grid systems in green cities.
To date, an increasing number of research efforts have been done and some articles have been published on the integration and interaction between Energy Internet and green cities. We would like to again invite researchers who are working on related research issues to contribute high-quality papers to further advance people’s understanding of the relationship between Energy Internet and green cities. We welcome both original, practical work and review articles.
Dr. Kun Wang
Dr. Yanfei Sun
Guest Editors
Manuscript Submission Information
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Keywords
- energy internet
- green cities
- new system architectures and green computing models
- robust algorithms
- energy management
- intelligent and optimized control
- operational efficiency
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