The idea of Internet of Things (IoT) has revolutionized the smart grids by providing the opportunity for remote control and monitoring of the distributed generations (DGs), switches, renewable energy sources (RES) and electrical loads. The application of IoT in the smart grid would facilitate the power dispatch of units, release the congested lines and provide various benefits to the end users such as smart metering, sensors and the demand response programs.
Not only does the IoT provide intelligence and wisdom to the control, monitoring and operation programs, but also promotes the idea of RES, and low-emission vehicles on a large scale. Other than the RES, IoT plays a critical role in the support of smart energy storage by giving it the authority to charge the residential loads at the emergency. Smart grids with IoT are well prepared to manage optimal operation programs using advanced intelligent algorithms in the presence of non-dispatchable and dispatchable units. All the above benefits ensure that the smart grid is only part of the IoT project to increase automation and take the advantage of the social, technical and economic outcomes. This Research Topic investigates the smart grid concept along with IoT in the automation and optimal energy management of these grids incorporating the high uncertainties of the RES.
This Research Topic seeks to provide a venue for energy researchers to provide appropriate management frameworks for maximizing the benefits of IoT connected to the smart grid and contributing to the development of future energy systems. In addition to the modern techniques for dealing with uncertainty parameters incorporating DGs and smart grids. Studies on emerging technologies, such as machine learning and artificial intelligence, will receive special attention in order to address emerging challenges such as renewable energy integration into the smart grid, uncertainty aware peer-to-peer energy management, and smart grid vulnerability to faults and cyber-attacks.
Research areas may include (but not limited to) the following:
- IoT-enabled stochastic operation and management frameworks for smart grids
- Demand response energy management system in IoT-enabled smart grid
- IoT-enabled operation of multi-agents including energy hubs, electric vehicles and demand response
- Fault power line recognition in IoT-enabled smart grids
- Smart cities applications: emergence, challenges and opportunities
- Smart grid, demand response and optimization
- IoT-enabled social-economic management of distribution systems integrated RES and DGs
The idea of Internet of Things (IoT) has revolutionized the smart grids by providing the opportunity for remote control and monitoring of the distributed generations (DGs), switches, renewable energy sources (RES) and electrical loads. The application of IoT in the smart grid would facilitate the power dispatch of units, release the congested lines and provide various benefits to the end users such as smart metering, sensors and the demand response programs.
Not only does the IoT provide intelligence and wisdom to the control, monitoring and operation programs, but also promotes the idea of RES, and low-emission vehicles on a large scale. Other than the RES, IoT plays a critical role in the support of smart energy storage by giving it the authority to charge the residential loads at the emergency. Smart grids with IoT are well prepared to manage optimal operation programs using advanced intelligent algorithms in the presence of non-dispatchable and dispatchable units. All the above benefits ensure that the smart grid is only part of the IoT project to increase automation and take the advantage of the social, technical and economic outcomes. This Research Topic investigates the smart grid concept along with IoT in the automation and optimal energy management of these grids incorporating the high uncertainties of the RES.
This Research Topic seeks to provide a venue for energy researchers to provide appropriate management frameworks for maximizing the benefits of IoT connected to the smart grid and contributing to the development of future energy systems. In addition to the modern techniques for dealing with uncertainty parameters incorporating DGs and smart grids. Studies on emerging technologies, such as machine learning and artificial intelligence, will receive special attention in order to address emerging challenges such as renewable energy integration into the smart grid, uncertainty aware peer-to-peer energy management, and smart grid vulnerability to faults and cyber-attacks.
Research areas may include (but not limited to) the following:
- IoT-enabled stochastic operation and management frameworks for smart grids
- Demand response energy management system in IoT-enabled smart grid
- IoT-enabled operation of multi-agents including energy hubs, electric vehicles and demand response
- Fault power line recognition in IoT-enabled smart grids
- Smart cities applications: emergence, challenges and opportunities
- Smart grid, demand response and optimization
- IoT-enabled social-economic management of distribution systems integrated RES and DGs
