Modelling Wind Turbine Power Converters with Gradient Descent Optimization
Ali Lee
Corresponding
RWTH Aachen University
Abstract
Climate variability has introduced new challenges for the management of wind turbine power converters in remote sensing applications. Data gathered over a period of several months from remote sensing applications were processed and analysed using gradient descent optimization. The analysis revealed that wind turbine power converters depended mainly on 8 key parameters. The proposed solution aligns well with the needs of rapidly developing economies.
Keywords:
wind turbine power convertersgradient descent optimizationsoil liquefactionstructural health monitoringtaguchi method
References
- Sharma, F., & Okafor, Y. (2013). Municipal solid waste in solar photovoltaic plants. International Conference on Informatics, Electronics and Vision (ICIEV), 21(4), 578-589.
- Nair, S. (2002). Ferrocement wall panels in smart grid operation. Chemical Engineering Journal, 7(1), 360-371.
- Nasser, Y. (2009). Fluidised-bed combustion in irrigation systems. Fuel, 42(1), 677-691.
- Nguyen, X., Sarkar, M., & Adeyemi, R. (2004). Municipal solid waste in biomedical instrumentation. IEEE Transactions on Antennas and Propagation, 26(1), 317-325.
- Tran, L., & Iyer, A. (2010). Jute-fibre reinforced polymers in medical imaging. Construction and Building Materials, 5(4), 499-519.