A review of intelligent systems for the prediction of wind energy using machine learning

AK Dubey, A Kumar, IS Ramirez… - … on Management Science …, 2022 - Springer
Renewable energies are playing a key role in the energy transition into efficient and
sustainable power generation. The global wind energy development has growth in recent …

FEM and ANN approaches to wind turbine gearbox monitoring and diagnosis: a mini review

OI Owolabi, N Madushele, PA Adedeji… - Journal of Reliable …, 2023 - Springer
Condition monitoring (CM) of wind turbine gearbox is one of the key concerns for the reliable
operation of wind power generation. With the huge ongoing transition towards renewable …

A data-driven analytical model for wind turbine wakes using machine learning method

G Nai-Zhi, Z Ming-Ming, L Bo - Energy Conversion and Management, 2022 - Elsevier
To reduce the wake effect by means of layout optimization or cooperative control, it is
significant to modeling wind turbine wakes in an accurate and efficient way. However …

Condition-based monitoring as a robust strategy towards sustainable and resilient multi-energy infrastructure systems

N Yodo, T Afrin, OP Yadav, D Wu… - Sustainable and Resilient …, 2023 - Taylor & Francis
ABSTRACT A resilient energy infrastructure system is exceptionally imperative to ensure
uninterrupted energy supply to support the nation's economic growth. The resilience …

A sustainable deep learning based computationally intelligent seafood monitoring system for fish species screening

J Rasheed - … International conference on artificial intelligence of …, 2021 - ieeexplore.ieee.org
Seafood being one of the major source of omega-3 fatty acid, is widely consumed around
the world, thus at the same time affects baby-growth due to high mercury. Therefore, an …

Combination of thermal modelling and machine learning approaches for fault detection in wind turbine gearboxes

B Corley, S Koukoura, J Carroll, A McDonald - Energies, 2021 - mdpi.com
This research aims to bring together thermal modelling and machine learning approaches to
improve the understanding on the operation and fault detection of a wind turbine gearbox …

Fault detection and prediction scheme for nonlinear stochastic distribution systems

C Zhang, L Yao, Y Sun, J Qin - Asian Journal of Control, 2023 - Wiley Online Library
Abstract Model‐based fault detection technique has a broad range of applications because
of the small change to the system when the system state is known to be available and the …

Design of a condition monitoring system for wind turbines

J Park, C Kim, MC Dinh, M Park - Energies, 2022 - mdpi.com
Renewable energy is being adopted worldwide, and the proportion of offshore wind turbines
is increasing. Offshore wind turbines operate in harsh weather conditions, resulting in …

A survey of machine learning applications in renewable energy sources

PSV Kishore, J Rajesh, N Jayaram… - IETE Journal of …, 2024 - Taylor & Francis
Renewable energy is now in high demand due to the deterioration of the global climate and
the depletion of conventional sources. Renewable energy sources (RES) such as wind and …

Early fault warning method of wind turbine main transmission system based on SCADA and CMS data

H Chen, J Chen, J Dai, H Tao, X Wang - Machines, 2022 - mdpi.com
The main transmission system of wind turbines is a multi-component coupling system, and
its operational state is complex and varied. These lead to frequent false alarms and missed …