A review of intelligent systems for the prediction of wind energy using machine learning
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 …
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 …
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 …
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
ABSTRACT A resilient energy infrastructure system is exceptionally imperative to ensure
uninterrupted energy supply to support the nation's economic growth. The resilience …
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 …
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
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 …
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 …
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
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 …
is increasing. Offshore wind turbines operate in harsh weather conditions, resulting in …
A survey of machine learning applications in renewable energy sources
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 …
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 …
its operational state is complex and varied. These lead to frequent false alarms and missed …