AIMC Topic: Wind

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Adaptive expert fusion model for online wind power prediction.

Neural networks : the official journal of the International Neural Network Society
Wind power prediction is a challenging task due to the high variability and uncertainty of wind generation and weather conditions. Accurate and timely wind power prediction is essential for optimal power system operation and planning. In this paper, ...

Classification of offshore wind grid-connected power quality disturbances based on fast S-transform and CPO-optimized convolutional neural network.

PloS one
The large-scale integration of offshore wind power into the power grid has brought serious challenges to the power system power quality. Aiming at the problem of power quality disturbance detection and classification, this paper proposes a novel algo...

Bird-inspired reflexive morphing enables rudderless flight.

Science robotics
Gliding birds lack a vertical tail, yet they fly stably rudderless in turbulence without needing discrete flaps to steer. In contrast, nearly all airplanes need vertical tails to damp Dutch roll oscillations and to control yaw. The few exceptions tha...

An interpretable (explainable) model based on machine learning and SHAP interpretation technique for mapping wind erosion hazard.

Environmental science and pollution research international
Soil erosion by wind poses a significant threat to various regions across the globe, such as drylands in the Middle East and Iran. Wind erosion hazard maps can assist in identifying the regions of highest wind erosion risk and are a valuable tool for...

Research on anti-swing control system of slewing crane based on fuzzy PID.

PloS one
BACKGROUND: The slewing crane is easily affected by the wind and the manipulation level of the operator when it is working, which in turn impacts its swing angle, affects the working efficiency and safety of the crane.

Investigating the impact of climate variables on the organic honey yield in Turkey using XGBoost machine learning.

Journal of the science of food and agriculture
BACKGROUND: The Turkish organic honey industry, a major player in the global market, faces challenges due to climate fluctuations. Understanding the influence of climate factors on honey production is vital for sustainable farming and economic stabil...

Windy events detection in big bioacoustics datasets using a pre-trained Convolutional Neural Network.

The Science of the total environment
Passive Acoustic Monitoring (PAM), which involves using autonomous record units for studying wildlife behaviour and distribution, often requires handling big acoustic datasets collected over extended periods. While these data offer invaluable insight...

Enhancement of ANN-based wind power forecasting by modification of surface roughness parameterization over complex terrain.

Journal of environmental management
Wind energy plays an important role in the sustainable energy transition towards a low-carbon society. Proper assessment of wind energy resources and accurate wind energy prediction are essential prerequisites for balancing electricity supply and dem...

Utilizing support vector machines to foster sustainable development and innovation in the clean energy sector via green finance.

Journal of environmental management
As the global demand for clean energy continues to grow, the sustainable development of clean energy projects has become an important topic of research. in order to optimize the performance and sustainability of clean energy projects, this work explo...

Risk assessment of deep-sea floating offshore wind power projects based on hesitant fuzzy linguistic term set considering trust relationship among experts.

Environmental monitoring and assessment
The development of deep-sea floating offshore wind power (FOWP) is the key to fully utilizing water resources to enhance wind resources in the years ahead, and then the project is still in its initial stage, and identifying risks is a crucial step be...