Artificial-Intelligent-Based Advanced Energy Management Systems for Microgrids in Smart Cities
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 2012
Special Issue Editors
2. Department of Electrical Engineering, University of Engineering and Technology, Taxila 47050, Pakistan
Interests: smart grids; demand response; microgrids; distributed generations; AI & machine learning techniques in power system
Special Issues, Collections and Topics in MDPI journals
Interests: smart grid; microgrid; smart city; electricity market; energy storage system; optimal scheduling, demand side management system
Interests: IoT-enabled smart grids; demand response programs (DRPs); energy markets; electric vehicle (EV) integration; GHGs reduction; AI & machine learning techniques
Special Issues, Collections and Topics in MDPI journals
Interests: coordination control strategies; virtual synchronous generators (VSGs); control of renewable energy sources (RESs), adaptive control techniques, and data-driven (artificial intelligence and machine learning) control techniques in power systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We invite submissions to the Special Issue titled: “Artificial-Intelligent-Based Advanced Energy Management Systems for Microgrids in Smart Cities”.
In the modern era, smart cities are gaining attention due to the number of services offered to the citizens. Microgrids in smart cities can be optimized with the help of advanced energy management systems that are enabled by artificial intelligence and machine learning techniques. These techniques are crucial in the energy management system as they not only reduce energy losses, but also create revenue streams for citizens and city management authorities. Due to its significance, this phenomenon has made energy management systems (EMSs) an integral part of research activities in the smart-grid environment. Different methods are used to further explore the enhancement of advanced EMSs, such as demand response programs (DRPs) and demand-side management strategies (DMSs). Various technologies, such as the Internet of Things (IoT) and cybersecurity methods, are used in smart cities to make the electrical grid reliable and resilient. Energy storage systems are used in smart buildings, especially in the prosumer-based energy trading system. The electricity market is also related to the energy management systems of smart cities, as it ameliorates end-users’ engagement. One of the main aspects of energy management systems is the optimal accommodation of renewable energies in smart microgrids. For this purpose, various characteristics and issues must be analyzed, e.g., voltage and frequency stability systems in the intelligent power system. In this Special Issue, two pivotal topics are microgrids and smart cities. Thus, submissions on cutting-edge theoretical and experimental studies and recent advances detailed in comprehensive reviews are warmly welcome. This Special Issue includes, but is not limited to, the following topics:
- Machine learning applications for energy management systems;
- Artificial intelligence techniques for energy management systems;
- Energy management in smart cities;
- Energy management in the environment of smart grids;
- Campus microgrids and industrial microgrids;
- Demand response;
- Renewable energy integration;
- Distributed generation;
- Internet of Things (IoT)-based energy management system;
- Cybersecure energy management system;
- Prosumer role in the electricity market;
- Energy trading system;
- Smart buildings;
- Stability control of microgrids.
Dr. Muhammad Waseem
Dr. Hafiz Abdul Muqeet
Dr. Arman Goudarzi
Dr. Shah Fahad
Guest Editors
Manuscript Submission Information
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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.
Keywords
- energy management
- smart grid
- microgrids
- demand response
- distributed generation
- Internet of Things (IoT)
- machine learning
- artificial intelligence
- power system
