The increasing pressure from energy and environmental protection has made the research for sustainable electrical energy urgent. The integration of high-proportion renewable energy resources offers significant achievements for decreased carbon emissions and increased economic costs. This calls for new concepts of modelling, monitoring, planning, optimization, control, etc. Due to the complexity of electrical energy systems (EES), it is challenging to design effective and smart solutions. The emerging digital technologies may provide promising solutions owing to the successful development of artificial intelligence, blockchain, edge computing, 5g/6g, etc. Moreover, digital technologies facilitate the integration of cyber and physical systems, which further benefits the intelligent detection, coordination, and management of EESs.
There are many challenges that require further research and development on policy, architecture, modelling, planning, operation, optimization, and control for sustainable EESs.
This Research Topic aims to address and disseminate state-of-the-art research and opportunities regarding applications of digital technologies to achieve low carbon and sustainable energy developments. We seek original papers with novel research contributions in all aspects of tools, models, and methods of relevance and impact of EESs. Original research and review articles are encouraged to submit to this Research Topic.
The main topics of interest include but are not limited to:
- Digital technologies empowered by the energy market and policy for EESs
- Digital-based reference architecture for EESs
- Digital technologies empowered by energy management methods for EESs
- Digital technologies empowered by smart planning, operation, and control for EESs
- Spatiotemporal data analytics for EESs
- Digital technologies empowered by topology construction for EESs
- Digital technologies supported by stability analysis for EESs
- New digital-based algorithms and convergence analysis for EESs
- The applications of AI, IoT, and 6G/5G technologies in EESs
- Digital-based edge-computing for EESs
The increasing pressure from energy and environmental protection has made the research for sustainable electrical energy urgent. The integration of high-proportion renewable energy resources offers significant achievements for decreased carbon emissions and increased economic costs. This calls for new concepts of modelling, monitoring, planning, optimization, control, etc. Due to the complexity of electrical energy systems (EES), it is challenging to design effective and smart solutions. The emerging digital technologies may provide promising solutions owing to the successful development of artificial intelligence, blockchain, edge computing, 5g/6g, etc. Moreover, digital technologies facilitate the integration of cyber and physical systems, which further benefits the intelligent detection, coordination, and management of EESs.
There are many challenges that require further research and development on policy, architecture, modelling, planning, operation, optimization, and control for sustainable EESs.
This Research Topic aims to address and disseminate state-of-the-art research and opportunities regarding applications of digital technologies to achieve low carbon and sustainable energy developments. We seek original papers with novel research contributions in all aspects of tools, models, and methods of relevance and impact of EESs. Original research and review articles are encouraged to submit to this Research Topic.
The main topics of interest include but are not limited to:
- Digital technologies empowered by the energy market and policy for EESs
- Digital-based reference architecture for EESs
- Digital technologies empowered by energy management methods for EESs
- Digital technologies empowered by smart planning, operation, and control for EESs
- Spatiotemporal data analytics for EESs
- Digital technologies empowered by topology construction for EESs
- Digital technologies supported by stability analysis for EESs
- New digital-based algorithms and convergence analysis for EESs
- The applications of AI, IoT, and 6G/5G technologies in EESs
- Digital-based edge-computing for EESs
