International Conference on Artificial Intelligence in Renewable Energy Systems

• • 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