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Onshore wind farm development: Technologies and layouts
Significantly growing wind energy is being contemplated as one of the main avenues to
reduce carbon footprints and decrease global risks associated with climate change …
reduce carbon footprints and decrease global risks associated with climate change …
Machine Learning for Predicting Wind Turbine Output Power in Wind Energy Conversion Systems.
KK Sayyad Liyakat… - … International Journal of …, 2024 - search.ebscohost.com
Among the most efficient sources of renewable energy and a potential significant source of
electricity is wind energy. Wind energy is perfect for dependable energy systems since it can …
electricity is wind energy. Wind energy is perfect for dependable energy systems since it can …
Machine learning methods to assist structure design and optimization of Dual Darrieus Wind Turbines
B Cheng, J Du, Y Yao - Energy, 2022 - Elsevier
An optimal structure of wind turbines, especially the Dual Darrieus Wind Turbines (DDWTs),
conduces to the development and promotion of wind power industry. However, the …
conduces to the development and promotion of wind power industry. However, the …
[HTML][HTML] False alarm detection in wind turbine by classification models
Wind energy is one of the most relevant renewable energy sources and it is expected to play
a major role in the global energy production. The supervisory control and data acquisition …
a major role in the global energy production. The supervisory control and data acquisition …
Prediction of wind turbine blade fatigue loads using feed-forward neural networks
MM Mohammadi - 2021 - diva-portal.org
In recent years, machine learning applications have gained great attention in the wind
power industry. Among these, artificial neural networks have been utilized to predict the …
power industry. Among these, artificial neural networks have been utilized to predict the …
ADRC‐based optimized control system for wind turbine power generator
M Liu - Advanced Control for Applications: Engineering and …, 2024 - Wiley Online Library
As a renewable and clean energy source, wind energy can be converted into electricity by
wind turbines. Currently, it is challenging to suppress the edgewise vibration of the wind …
wind turbines. Currently, it is challenging to suppress the edgewise vibration of the wind …
[PDF][PDF] Machine Learning for Predicting Wind Turbine Output Power in Wind Energy Conversion Systems
KKS Liyakat, PK Magadum - 2024 - researchgate.net
Among the most efficient sources of renewable energy and a potential significant source of
electricity is wind energy. Wind energy is perfect for dependable energy systems since it can …
electricity is wind energy. Wind energy is perfect for dependable energy systems since it can …
A Short Review of Machine Learning Techniques for Thermal, Energy and Electrical Engineering Applications
NR Swain, S Pillai, SK Yadav - Machine Learning and Optimization for …, 2023 - Springer
Abstract Machine Learning (ML) is the most rapidly evolving technology for problem solving
in engineering. It helps intelligence systems learn each typical pattern of the environment by …
in engineering. It helps intelligence systems learn each typical pattern of the environment by …
Control of Overload Safety in Wind Turbines Through Blade Pitch Control Implementing Artificial Intelligence
E Kannikka, N Kanwal - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
With the growth in world energy consumption and the need for more and more green energy
production, the harvest of renewable energy is increasingly popular in the modern world …
production, the harvest of renewable energy is increasingly popular in the modern world …
Predictive Modelling for Optimizing Wind Turbine Performance and Structural Health Monitoring: Adapting Turkish SCADA Data for Sub-Saharan Africa
SA Siyanbola, OM Oluwatade… - Advances in Science and …, 2025 - Trans Tech Publ
This research investigates the application of AI-enhanced structural health monitoring (SHM)
systems to predict and optimize the performance and reliability of wind turbines in Sub …
systems to predict and optimize the performance and reliability of wind turbines in Sub …