Research Topic

Applications of Advanced Control and Artificial Intelligence in Smart Grids

About this Research Topic

The increasing pressure from energy and environment protection has made the research for advanced energy infrastructures urgent, such as microgrids, intelligent transportation networks, and so on. To this end, smart grids (SGs), focusing on the deep integration of advanced multiple renewable sources and information technologies, is regarded as the popular form of resilient energy utilization for future development. Based on intelligent perception and cyber communication, SG realizes the deep integration and real-time interaction of calculation, communication, control, and artificial intelligence. Furthermore, the SG will generate and utilize abundant data to achieve optimal energy distribution. Many challenges require further research and development on the modeling, planning, control, and optimization of the distributed information and energy systems, which may include interdependent infrastructures such as electricity, transportation, communication networks.

This Research Topic will bring together researchers from diverse fields and specializations, such as communications engineering, computer science, electrical and electronics engineering, transportation engineering, mathematics, and specialists in the areas related to SG technologies. Topics of interest include, but are not limited to the following:
• Standard modeling of smart grids with numerous distributed generators;
• Applications of advanced control and modern AI techniques in the optimization of SGs;
• AI for residential solar and wind control;
• Advanced control and modern AI-based approaches for forecasting of renewable energy sources, loads, and electricity prices;
• Advanced control and modern AI methods for state evaluation and fault detection of SG equipment;
• Applications of advanced control and modern AI techniques in the SG market to accommodate the increasing penetration levels of renewable energy sources;
• Applications of Machine Learning for predictive maintenance and asset management.


Keywords: Advanced Control, Artificial Intelligence, Smart Grids, Machine Learning, Renewable Energy Sources


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

The increasing pressure from energy and environment protection has made the research for advanced energy infrastructures urgent, such as microgrids, intelligent transportation networks, and so on. To this end, smart grids (SGs), focusing on the deep integration of advanced multiple renewable sources and information technologies, is regarded as the popular form of resilient energy utilization for future development. Based on intelligent perception and cyber communication, SG realizes the deep integration and real-time interaction of calculation, communication, control, and artificial intelligence. Furthermore, the SG will generate and utilize abundant data to achieve optimal energy distribution. Many challenges require further research and development on the modeling, planning, control, and optimization of the distributed information and energy systems, which may include interdependent infrastructures such as electricity, transportation, communication networks.

This Research Topic will bring together researchers from diverse fields and specializations, such as communications engineering, computer science, electrical and electronics engineering, transportation engineering, mathematics, and specialists in the areas related to SG technologies. Topics of interest include, but are not limited to the following:
• Standard modeling of smart grids with numerous distributed generators;
• Applications of advanced control and modern AI techniques in the optimization of SGs;
• AI for residential solar and wind control;
• Advanced control and modern AI-based approaches for forecasting of renewable energy sources, loads, and electricity prices;
• Advanced control and modern AI methods for state evaluation and fault detection of SG equipment;
• Applications of advanced control and modern AI techniques in the SG market to accommodate the increasing penetration levels of renewable energy sources;
• Applications of Machine Learning for predictive maintenance and asset management.


Keywords: Advanced Control, Artificial Intelligence, Smart Grids, Machine Learning, Renewable Energy Sources


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

19 February 2021 Abstract
30 June 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

19 February 2021 Abstract
30 June 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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