Artificial Intelligence in Renewable Energy Systems (ICAIRES-27)

This track focuses on the integration of artificial intelligence technologies in various renewable energy systems. It aims to explore innovative applications that enhance efficiency and performance in energy generation and management.

This session will delve into the use of artificial neural networks for optimizing solar thermal and photovoltaic systems. Participants will discuss methodologies and case studies demonstrating the effectiveness of neural networks in improving solar energy output.

This track will cover the application of genetic algorithms in the design and optimization of renewable energy systems. Attendees will share insights on how these algorithms can enhance system performance and reduce costs.

This session focuses on the application of control algorithms for predicting wind speed and optimizing active power generation in wind energy systems. Discussions will include advancements in predictive modeling techniques and their impact on energy production.

This track will explore the application of fuzzy systems in the control and modeling of energy systems, including building management. Participants will examine how fuzzy logic can improve decision-making processes in complex energy environments.

This session will highlight the role of computational intelligence techniques in enhancing architectural and building acoustics. The focus will be on innovative solutions that optimize energy consumption and improve occupant comfort.

This track will discuss active learning strategies for the neural estimation of engine maps and their implications for energy systems. Participants will explore how these strategies can lead to more accurate and efficient energy management.

This session will investigate the application of artificial intelligence techniques in combustion systems for energy generation. The focus will be on improving efficiency and reducing emissions through advanced AI methodologies.

This track will cover process monitoring, control, scheduling, and planning in renewable energy systems. Participants will discuss the latest advancements in AI-driven solutions for enhancing operational efficiency.

This session will explore the role of artificial intelligence in fault diagnostics and maintenance of renewable energy systems. Discussions will focus on predictive maintenance strategies that leverage AI for improved reliability.

This track will examine possible, existing, and potential applications of artificial intelligence in the renewable energy sector. Participants will engage in discussions about emerging trends and future directions for AI integration in energy systems.