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 …

A review of non-destructive testing on wind turbines blades

FPG Márquez, AMP Chacón - Renewable Energy, 2020 - Elsevier
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 …

Review of sub-synchronous interaction in wind integrated power systems: classification, challenges, and mitigation techniques

N Verma, N Kumar, S Gupta, H Malik… - … and Control of …, 2023 - ieeexplore.ieee.org
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 …

Photovoltaic plant condition monitoring using thermal images analysis by convolutional neural network-based structure

AH Herraiz, AP Marugán, FPG Márquez - Renewable Energy, 2020 - Elsevier
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 …

A review of the application performances of concentrated solar power systems

AP Gonzalo, AP Marugán, FPG Márquez - Applied Energy, 2019 - Elsevier
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 …

A comprehensive review of artificial intelligence and wind energy

FP Garcia Marquez, A Peinado Gonzalo - Archives of Computational …, 2022 - Springer
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 …

[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 …

Linear and nonlinear features and machine learning for wind turbine blade ice detection and diagnosis

AA Jiménez, FPG Márquez, VB Moraleda… - Renewable energy, 2019 - Elsevier
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 …

[HTML][HTML] K-nearest neighbour and K-fold cross-validation used in wind turbines for false alarm detection

AMP Chacón, IS Ramírez, FPG Márquez - Sustainable Futures, 2023 - Elsevier
Maintenance management is critical to ensure the efficiency and competitiveness of energy
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

AA Jiménez, CQG Muñoz, FPG Márquez - Reliability Engineering & System …, 2019 - Elsevier
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 …