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 …
Optimization of a vertical axis wind turbine with a deflector under unsteady wind conditions via Taguchi and neural network applications
Vertical axis wind turbines (VAWTs), so named because of their vertical axis of rotation, are
a sustainable, opportune, and versatile means of producing energy. Their operation is not …
a sustainable, opportune, and versatile means of producing energy. Their operation is not …
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 …
Multi-objective reliability-based design optimization approach of complex structure with multi-failure modes
To make multi-objective reliability-based design optimization (MORBDO) more effective for
complex structure with multi-failure modes and multi-physics coupling, multiple response …
complex structure with multi-failure modes and multi-physics coupling, multiple response …
[HTML][HTML] Icing condition prediction of wind turbine blade by using artificial neural network based on modal frequency
F Li, H Cui, H Su, Z Ma, YX Zhu, Y Zhang - Cold Regions Science and …, 2022 - Elsevier
Wind turbines are increasingly installed in cold regions because of better wind resources. In
these regions, high humidity and low temperature in winter increase the risk of ice …
these regions, high humidity and low temperature in winter increase the risk of ice …
A new optimization method of wind turbine airfoil performance based on Bessel equation and GABP artificial neural network
H Wen, S Sang, C Qiu, X Du, X Zhu, Q Shi - Energy, 2019 - Elsevier
One of the most important steps in designing wind turbines is to find airfoils with better
performance. One of the major hurdles with parameterizing the entire airfoil shape …
performance. One of the major hurdles with parameterizing the entire airfoil shape …
Optimized design of 3-DOF buoy wave energy converters under a specified wave energy spectrum
J Tao, F Cao, X Dong, D Li, H Shi - Applied Ocean Research, 2021 - Elsevier
The oscillating body is one of the most common wave energy converters (WECs) owing to its
simple structure and adaptability to various wave directions. In recent years, many …
simple structure and adaptability to various wave directions. In recent years, many …
Computational modeling and constructal design theory applied to the geometric optimization of thin steel plates with stiffeners subjected to uniform transverse load
G Troina, M Cunha, V Pinto, L Rocha, E Dos Santos… - Metals, 2020 - mdpi.com
Stiffened thin steel plates are structures widely employed in aeronautical, civil, naval, and
offshore engineering. Considering a practical application where a transverse uniform load …
offshore engineering. Considering a practical application where a transverse uniform load …
A review of artificial intelligence applications in ship structures
The rapid development of computer science and information technology has created plenty
of new approaches and possibilities to collect, sort and analyze a huge amount of data …
of new approaches and possibilities to collect, sort and analyze a huge amount of data …