Call For Paper
Multidisciplinary Studies
- 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