A survey of artificial neural network in wind energy systems

AP Marugán, FPG Márquez, JMP Perez… - Applied energy, 2018 - Elsevier
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 …

Optimization of a vertical axis wind turbine with a deflector under unsteady wind conditions via Taguchi and neural network applications

WH Chen, JS Wang, MH Chang, AT Hoang… - Energy Conversion and …, 2022 - Elsevier
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 …

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 …

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 …

Multi-objective reliability-based design optimization approach of complex structure with multi-failure modes

LK Song, CW Fei, J Wen, GC Bai - Aerospace Science and Technology, 2017 - Elsevier
To make multi-objective reliability-based design optimization (MORBDO) more effective for
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 …

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 …

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 …

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 …

A review of artificial intelligence applications in ship structures

A Mikulić, J Parunov - Trends in the Analysis and Design of Marine …, 2019 - taylorfrancis.com
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 …