Recent years have witnessed the evolution of Artificial Intelligence [AI] techniques like deep learning, machine learning, pattern recognition, Natural language processing [NLP], and computer vision and their revolutionary applications in the emerging smart city and industrial automation applications. In this scenario, AI provides smart and efficient tools for smart energy systems to perform smart electricity generation, emergency response, and delivery. The integration of renewable energy sources into the smart grid is made easier by using Artificial intelligence technologies. Meanwhile, Machine Learning the subset of Artificial intelligence provides some security and privacy assessment tools to the evolving smart energy grids. As Artificial Intelligence [AI] techniques are still remaining in the initial stage to revolutionize the way we generate, transmit and consume the energy in the smart city and industrial infrastructure. It is clearly known that the integration of AI in smart energy models will deliver a wide range of potential research opportunities to the smart energy management community. The main goal of the International Conference on Artificial intelligence and Smart Systems [ICAIS 2022] organized by JCT College of Engineering and Technology, Coimbatore, Tamilnadu, India on 23-25, February 2022 is to propose, share and exchange innovative Artificial Intelligence [AI] solutions to enhance the efficiency, stability, robustness, and security of smart energy systems.

Artificial Intelligence

· Capsule Networks· Smart Agent-based Systems· Machine Learning· Fuzzy based Intelligent Systems· Evolutionary Computing· Expert Systems· Human-Computer Interaction Technologies· Cognitive Intelligence· Artificial Immune Systems· Cyber-Physical Systems· Artificial life· Knowledge-based Systems· Artificial Neural Networks· Computational Intelligence· Neuro-Fuzzy Models and Techniques· Intelligent Estimation and Classification Models· Hybrid Intelligence· Internet of Intelligent Things· Quantum Computing· Cyber-Security Models and Techniques· Reinforcement LearningSmart Systems· Deep Learning based Smart Energy Systems· Innovative Energy Control and Management Techniques· AI in Renewable Energy Systems· Smart Power and Energy Systems· Distributed Energy Systems· Active Power Generation Models· Intelligence Fault Diagnosis and Maintenance Technologies· Smart Process monitoring and Control Strategies· Techniques to Reduce Energy Consumption· Smart Energy Optimization Techniques· Neural Estimation for Energy Consumption· Predictive Control, planning and Scheduling algorithms· Dynamic Control of Energy Systems· Distributed Computing and Control in Energy Systems· Secured and Privacy-preserving analytics for Smart Energy Systems· Innovation Quantum Computing Processes in Energy Systems