Special Issue "Artificial Intelligence for Smart Cities"
Deadline for manuscript submissions: closed (20 June 2023) | Viewed by 3556
Interests: short-term load forecasting; intelligent forecasting technologies (e.g., neural networks, knowledge–based expert systems, fuzzy inference systems, evolutionary computation, etc.); hybrid forecasting models (e.g., hybridizing traditional models with intelligent technologies, or hybridizing two or more different models to form a novel forecasting model); novel intelligent methodologies (chaos theory; cloud theory; quantum theory)
Special Issues, Collections and Topics in MDPI journals
Special Issue in Energies: Hybrid Advanced Techniques for Forecasting in Energy Sector
Special Issue in Algorithms: Advanced Hybrid Algorithms in Energy Forecasting
Special Issue in Energies: Kernel Methods and Hybrid Evolutionary Algorithms in Energy Forecasting
Special Issue in Energies: Hybrid Advanced Optimization Methods with Evolutionary Computation Techniques in Energy Forecasting
Special Issue in Energies: Short-Term Load Forecasting by Artificial Intelligent Technologies
Special Issue in Forecasting: Applications of Forecasting by Hybrid Artificial Intelligent Technologies
Special Issue in Energies: Intelligent Optimization Modelling in Energy Forecasting
Special Issue in Sustainability: Advanced Intelligent Technologies in Sustainable Energy Forecasting and Economical Applications
Special Issue in Sustainability: Carbon Neutrality: National Strategic Action Programmes and Technologies
Special Issue in Sensors: Futuristic Trends in Sensing Technologies of Digital Twin Systems
A smart city uses information and communication technology (ICT) to improve operational efficiency, share information with the public and provide a better quality of government service and citizen welfare. The main goal of a smart city is to optimize city functions and promote economic growth while also improving the quality of life for citizens by using smart technologies and data analysis. The value lies in how this technology is used rather than simply how much technology is available. As artificial intelligence technologies mature, it becomes easier to meet the demands of the development for smart cities.
Artificial intelligence (AI) technologies (e.g., IoT, blockchain, virtual reality, fuzzy inference systems, deep-learning-based neural networks (DNNs), convolutional neural networks, stacked autoencoders, deep reinforcement learning, meta-learning, life-long learning, graph neural networks, meta-heuristic algorithms) have played an important role in enhancing the quality of service operations from smart cities which combine people, processes, and machines, to impact the overall economical productions. Meanwhile, these emerging AI technologies also provide enough support for the connectivity of buildings, data, energy, transport, and governance, which is leading to many innovations across industrial applications to form more mature smart cities.
Hence, there is a demand to further explore the abundant applications of these AI technologies or intelligent solutions to improve/enhance any operating components, such as the quality of manufacturing, supply chain management, and Industry 5.0 for future smart cities. Thus, this Special Issue aims to provide a platform for the discussions of novel scientific and technological insights, principles, algorithms, and experiences in topics including but not limited to:
- Novel AI-based analytics on data to improve efficiency, product quality and employee safety;
- Data-driven innovations for demand planning and logistics management;
- AI-based and green-based supply chains;
- Applications of IoT for tracking production across entire processes and supply chains;
- Advanced AI technologies for enhancing the connectivity of any components of smart cities;
- Hybrid meta-heuristic algorithms with AI technologies in enhancing the connectivity of any components for smart cities;
- Intelligent solutions for future smart cities;
- Smart transportation and traffic prediction for smart cities using IoT;
- Cloud and data analytics for the effective analysis of industrial data;
- Smart grid and sustainable energy solutions for smart cities;
- Smart governance and smart education;
- Smart cloud storage and data access.
Prof. Dr. Wei-Chiang Hong
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. Future Internet is an international peer-reviewed open access monthly 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 1600 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 cities
- smart transportation
- industrial data