International Conference on Applications of Artificial Intelligence in Energy Systems - (ICAAIES-25)


1st - 2nd October, 2025 | Las vegas, USA

Multi-format (In-person/Virtual)

Important Dates

Pre-registration Deadline

1st September, 2025

Paper Submission Deadline

11th September, 2025

Last Date Of Registration

16th September, 2025

Date Of Conference

1st - 2nd October, 2025

Downloads

Call For Paper

The Research Leagues events aim to release a wide range of articles that provide insight and explore the latest advancements in engineering, medicine, social science, applied science, management etc.

Our conference practices methodological, conceptual, and epistemological diversity. But we prefer articles that effectively engage with current intellectual debates. We expect our participants to contribute innovative ideas, perspectives, and research methods.

Our events can potentially revolutionize the current paradigm and pave the way for growth and development. Those who intend to have their original findings and research published through our events should get an idea from the Author Guidelines, Rules for Presentation, and Instruction sections, before anything else.

Engineering

  • Artificial intelligence in energy and renewable energy systems
  • Artificial intelligence technology
  • Present applications of artificial intelligence to energy systems
  • Artificial neural networks for energy and renewable energy applications
  • Artificial neural networks in solar thermal energy systems
  • Genetic algorithms for the optimization of solar thermal systems
  • Artificial neural networks applied in PV systems and solar radiation
  • Application of control algorithms for wind speed prediction and active power generation
  • Neuro-fuzzy Hammerstein model based predictive control of a solid oxide fuel cell
  • The application of fuzzy systems to control and modeling of building systems
  • Computational intelligence techniques to architectural and building acoustics
  • Active learning strategies for the neural estimation of engine maps
  • The application of artificial intelligence techniques in combustion systems
  • Learning control of fluidized-bed combustion processes for power plants
  • Application of artificial intelligence techniques for the reduction of energy consumption
  • Possible, existing, and potential applications of artificial intelligence in energy systems
  • Process monitoring, control, scheduling and planning
  • Fault diagnostics and maintenance

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