A survey of artificial neural network in wind energy systems
Wind energy has become one of the most important forms of renewable energy. Wind
energy conversion systems are more sophisticated and new approaches are required based …
energy conversion systems are more sophisticated and new approaches are required based …
A review of applications of artificial intelligent algorithms in wind farms
Wind farms are enormous and complex control systems. It is challenging and valuable to
control and optimize wind farms. Their applications are widely used in various industries …
control and optimize wind farms. Their applications are widely used in various industries …
Robust neural network fault estimation approach for nonlinear dynamic systems with applications to wind turbine systems
R Rahimilarki, Z Gao, A Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, a robust fault estimation approach is proposed for multi-input and multioutput
nonlinear dynamic systems on the basis of back propagation neural networks. The …
nonlinear dynamic systems on the basis of back propagation neural networks. The …
Design and optimization of a novel U-type vertical axis wind turbine with response surface and machine learning methodology
B Cheng, Y Yao - Energy Conversion and Management, 2022 - Elsevier
A novel U-type Darrieus Wind Turbine (UDWT) is proposed by this study. During the design
and optimization of UDWT, Machine Learning (ML) method based on BPNN and three …
and optimization of UDWT, Machine Learning (ML) method based on BPNN and three …
Optimal decision-making via binary decision diagrams for investments under a risky environment
A Pliego Marugán, FP García Márquez… - International Journal of …, 2017 - Taylor & Francis
This paper presents two methods for supporting investments and resource allocation in a
constrained risky environment. These methods are based on the application of logical …
constrained risky environment. These methods are based on the application of logical …
[HTML][HTML] Prediction of operating parameters and output power of ducted wind turbine using artificial neural networks
J Taghinezhad, S Sheidaei - Energy Reports, 2022 - Elsevier
The performance of a ducted wind turbine was simulated in this study utilizing an artificial
neural network under various duct operating conditions. Ducted wind turbines have been …
neural network under various duct operating conditions. Ducted wind turbines have been …
Prediction of power generation and rotor angular speed of a small wind turbine equipped to a controllable duct using artificial neural network and multiple linear …
Wind power is one of the most popular sources of renewable energies with an ideal
extractable value that is limited to 0.593 known as the Betz-Joukowsky limit. As the …
extractable value that is limited to 0.593 known as the Betz-Joukowsky limit. As the …
A generic prediction interval estimation method for quantifying the uncertainties in ultra-short-term building cooling load prediction
Ultra-short-term building cooling load prediction is useful for optimal operations of building
energy systems. The uncertainties of predicted cooling loads affect the reliability of the …
energy systems. The uncertainties of predicted cooling loads affect the reliability of the …
On the application of machine learning in savonius wind turbine technology: an estimation of turbine performance using artificial neural network and genetic …
UH Rathod, V Kulkarni… - Journal of Energy …, 2022 - asmedigitalcollection.asme.org
This article addresses the application of artificial neural network (ANN) and genetic
expression programming (GEP), the popular artificial intelligence, and machine learning …
expression programming (GEP), the popular artificial intelligence, and machine learning …
Elastic weight consolidation-based adaptive neural networks for dynamic building energy load prediction modeling
Data-driven building energy load prediction models should be updated dynamically to adapt
to building performance degradation and changes of outdoor environment. Conventional …
to building performance degradation and changes of outdoor environment. Conventional …