4th International Conference on Artificial Intelligence and Smart Energy ICAIS2024

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.

Paper presentation

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 Learning

Smart 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

13 March, 2024

REGISTRATION OPTION

Indian Participant: 6750 INR
Foreign Participant: 100 USD

JCT College of Engineering and Technology
Pichanur Road, Off NH 47,
Pichanur, Coimbatore,
Tamil Nadu, India - 641105