Sustainable Energy Internet

Dear Colleagues,

Energy Internet is a sustainable scenario of the Internet of Things which covers all aspects of electrical energy systems and provides secure connectivity and interoperability between power grids and the Internet. It integrates every piece involved in energy generation, transmission, distribution, storage, and consumption into a network with up-to-date information and communication technologies to achieve efficient energy management and enhance the reliability of the power system. For instance, the vehicle-to-grid (V2G) technology can explore the batteries of electric vehicles (EVs) to reduce energy demand and supply imbalance by absorbing excess energy during off-peak hours and delivering it back to the grid when needed.

Some advanced information and communication technologies (e.g., Energy Internet-oriented 5G/6G technology, IoT, big data, blockchain, and artificial intelligence (AI), etc.) have become the key to the sustainable development of energy internet. For example, with 5G/6G, large volumes of data are routinely collected, including energy consumption, power generation, voltage level, EV charging/discharging behaviors, battery states, historical demand profiles, and so on. The integration of AI and big data is expected to bring significant improvements in robustness and economic performance. The preservation of security and privacy plays an important role in the safe and reliable operation of power systems, which is also a topic worthy of attention and research.

Therefore, the aim of this featured Special Issue is to solicit original submissions with novel contributions on sustainable Energy Internet, from the perspective of network structure, infrastructure deployment, secure/safety, efficient energy trading, energy scheduling, pricing, and so on.

Topics of interest include (but are not limited to):

• Energy managements in sustainable Energy Internet.
• Architectural frameworks for sustainable Energy Internet
• Big data for sustainable Energy Internet
• AI-driven data mining and machine learning in sustainable Energy Internet
• Security and privacy in sustainable Energy Internet
• Economic framework for sustainable Energy Internet
• Energy scheduling for distributed microgrid
• Energy modeling and optimizations for sustainable energy systems and data centers
• Secure and efficient vehicle-to-grid energy trading
• Edge computing for sustainable Energy Internet
• Novel applications for sustainable Energy Internet

Prof. Zhenyu Zhou
Prof. Jun Wu
Prof. Muhammad Tariq
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. Sustainability 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.

• Energy management
• Vehicle-to-grid
• Big data
• Artificial intelligence (AI)
• IoT enabled grid
• Blockchain
• Sustainable development
• Edge computing