Computer Science and AI Applications for Smart Energy Communities and Smart Cities

Dear Colleagues,

Complex systems including smart grids and smart cities are confronted with the significantly growing penetration of data in the real world due to the needs of applying different devices and applications and human activities of modern life. In order to effectively manage and control these daily activities, these data should be considered appropriately in the decision-making procedures to find the optimum solution. To achieve these purposes, computer science is used to help modern society in building smart cities in every aspect. In fact, implementing computer science applications in human societies is the heart of modern smart cities, in which any disturbance might lead to unsuitable consequences, abnormal situations, security issues, even disorder and chaos. In order to cope with ever-increasing data and complexity and security in modern smart cities, new architectures, concepts, algorithms, and procedures are essential. This Special Issue aims to encourage researchers to address the technical issues and research gaps in applying computer science applications in smart cities to improve life for human societies. The topics of interest for this Special Issue include but are not limited to:

• Smart grids protection and security.
• Smart grids stability.
• Data mining and AI in smart cities.
• Issues in data analytics.
• Advanced teaching using computer technologies.
• Modern banking based on data analysis.
• Machine-learning applications in smart city hospitals.
• Technical issues in leaning algorithms.
• Advances in optimization methods.
• Data mining architecture.
• Artificial intelligence applications to improve smart city performance.
• Electricity infrastructures—new paradigms in smart cities.
• Systems of systems concept.
• Methodologies and applications of modern methods for image processing and pattern recognition.
• New trends in communication links and data transfer.
• The design, modeling, and management of networks.
• Developing heuristic optimization algorithms.
• New approaches in managing smart cities based on data analytics.
• Communication issues in smart cities.
• Monitoring, control, operation, stability, and security in smart cities.
• Optimization of losses in sensor, electricity, and communication networks.
• Managing water distribution in smart cities.
• Modern electrical transportation, electrical vehicles, smart navigation, and map routing in modern smart cities.
• Data mining in modern societies.
• Cloud computing.

Prof. Dr. Pierluigi Siano
Dr. Hassan Haes Alhelou
Dr. Reza Zamani
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. Smart Cities 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 2000 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.

• smart grids
• smart cities
• machine learning
• AI
• data analytics
• cybersecurity
• power system operation
• cloud computing
• power system control