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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 non-destructive testing on wind turbines blades
Wind energy, with an exponential growth in the last years, is nowadays one of the most
important renewable energy sources. Modern wind turbines are bigger and complex to …
important renewable energy sources. Modern wind turbines are bigger and complex to …
Review of sub-synchronous interaction in wind integrated power systems: classification, challenges, and mitigation techniques
Emerging sub-synchronous interactions (SSI) in wind-integrated power systems have added
intense attention after numerous incidents in the US and China due to the involvement of …
intense attention after numerous incidents in the US and China due to the involvement of …
Photovoltaic plant condition monitoring using thermal images analysis by convolutional neural network-based structure
The size and the complexity of photovoltaic solar power plants are increasing, and it
requires an advanced and robust condition monitoring systems for ensuring their reliability …
requires an advanced and robust condition monitoring systems for ensuring their reliability …
A review of the application performances of concentrated solar power systems
The global energy production model is changing from fossil fuels to renewable and nuclear
energies. Concentrated solar power is one of the growing technologies that is leading this …
energies. Concentrated solar power is one of the growing technologies that is leading this …
A comprehensive review of artificial intelligence and wind energy
Support of artificial intelligence, renewable energy and sustainability is currently increasing
through the main policies of developed countries, eg, the White Paper of the European …
through the main policies of developed countries, eg, the White Paper of the European …
[HTML][HTML] A review of optimization of microgrid operation
K Gao, T Wang, C Han, J ** to realize the sustainable utilization of energy
and the harmonious development of the economy and society. Microgrids are a key …
and the harmonious development of the economy and society. Microgrids are a key …
Linear and nonlinear features and machine learning for wind turbine blade ice detection and diagnosis
The mass of ice on wind turbines blades is one of the main problems that energy companies
have in cold climates. This paper presents a novel approach to detect and classify ice …
have in cold climates. This paper presents a novel approach to detect and classify ice …
[HTML][HTML] K-nearest neighbour and K-fold cross-validation used in wind turbines for false alarm detection
Maintenance management is critical to ensure the efficiency and competitiveness of energy
production in the wind energy industry. Current maintenance operations are planned …
production in the wind energy industry. Current maintenance operations are planned …
Dirt and mud detection and diagnosis on a wind turbine blade employing guided waves and supervised learning classifiers
Dirt and mud on wind turbine blades (WTB) reduce productivity and can generate stops and
downtimes. A condition monitoring system based on non-destructive tests by ultrasonic …
downtimes. A condition monitoring system based on non-destructive tests by ultrasonic …