Emerging Applications of AI and Robotics in Smart Grid and Energy Sectors

Dear Colleagues,

With the increasing decentralization and digitization of the power grid, it is becoming more challenging to manage large numbers of grid participants while maintaining the grid balance. This requires evaluation and analysis of enormous amount of data. Artificial intelligence (AI), especially machine learning and deep learning, help the energy industry to be more efficient and secure in examining and assessing the data. AI applications in energy will benefit and assist this sector in various aspects e.g., in power theft and energy fraud detection, energy trading, energy storage, predictive analytics, grid management and efficiency, microgrids and smart grids, and customer engagement. AI can also facilitate and speed up the integration of renewables. Robotics has embarked upon its transformative journey and will help to improvise AI usage in the energy industry in ways that have great potential for foreseeable future designs of the energy system. This Topic covers AI-related new technologies that create broad scope for the energy field to improve efficiency, optimise performance, drive innovation, and accelerate growth.

Potential topics include but are not limited to the following:

• Big data
• Artificial intelligence and IoT
• Intelligent sensors
• Robot sensing systems
• Signal processing
• Machine learning and deep learning
• Micro-synchrophasor measurement units
• Smart grid
• Electrical power distribution system
• Renewables
• Smart infrastructure
• Low carbon and net zero

Dr. Maitreyee Dey
Dr. Soumya Prakash Rana
Prof. Dr. Sandra Dudley
Topic Editors