AIMC Topic: Wind

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

The Science of the total environment Jul 19, 2024
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...
Wind Animals Neural Networks, Computer South Africa Acoustics Environmental Monitoring Noise
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Enhancement of ANN-based wind power forecasting by modification of surface roughness parameterization over complex terrain.

Journal of environmental management May 31, 2024
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...
Forecasting Wind Neural Networks, Computer Weather Models, Theoretical
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Utilizing support vector machines to foster sustainable development and innovation in the clean energy sector via green finance.

Journal of environmental management May 25, 2024
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...
Models, Theoretical Conservation of Energy Resources Support Vector Machine Carbon Dioxide Sustainable Development Wind
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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 Apr 2, 2024
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...
Environmental Monitoring Fuzzy Logic Trust Risk Assessment Linguistics Wind Reproducibility of Results
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Facilitating interaction between partial differential equation-based dynamics and unknown dynamics for regional wind speed prediction.

Neural networks : the official journal of the International Neural Network Society Mar 11, 2024
Regional wind speed prediction is an important spatiotemporal prediction problem which is crucial for optimizing wind power utilization. Nevertheless, the complex dynamics of wind speed pose a formidable challenge to prediction tasks. The evolving dy...
Neural Networks, Computer Wind
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Improving the operational forecasts of outdoor Universal Thermal Climate Index with post-processing.

International journal of biometeorology Mar 5, 2024
The Universal Thermal Climate Index (UTCI) is a thermal comfort index that describes how the human body experiences ambient conditions. It has units of temperature and considers physiological aspects of the human body. It takes into account the effec...
Humidity Slovenia Thermosensing Climate Linear Models Machine Learning Humans Forecasting Temperature Neural Networks, Computer Wind
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Innovative approach for predicting daily reference evapotranspiration using improved shallow and deep learning models in a coastal region: A comparative study.

Journal of environmental management Feb 14, 2024
Accurate and reliable estimation of Reference Evapotranspiration (ETo) is crucial for water resources management, hydrological processes, and agricultural production. The FAO-56 Penman-Monteith (FAO-56PM) approach is recommended as the standard model...
Temperature Wind Deep Learning Climate Neural Networks, Computer
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Development of a robust daily soil temperature estimation in semi-arid continental climate using meteorological predictors based on computational intelligent paradigms.

PloS one Dec 27, 2023
Changes in soil temperature (ST) play an important role in the main mechanisms within the soil, including biological and chemical activities. For instance, they affect the microbial community composition, the speed at which soil organic matter breaks...
Desert Climate Temperature Artificial Intelligence Wind Soil
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Intrinsic and extrinsic techniques for quantification uncertainty of an interpretable GRU deep learning model used to predict atmospheric total suspended particulates (TSP) in Zabol, Iran during the dusty period of 120-days wind.

Environmental pollution (Barking, Essex : 1987) Dec 5, 2023
Total suspended particulates (TSP), as a key pollutant, is a serious threat for air quality, climate, ecosystems and human health. Therefore, measurements, prediction and forecasting of TSP concentrations are necessary to mitigate their negative effe...
Wind Ecosystem Uncertainty Humans Iran Deep Learning Environmental Monitoring Dust Air Pollutants
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PEPNet: A barotropic primitive equations-based network for wind speed prediction.

Neural networks : the official journal of the International Neural Network Society Aug 26, 2023
In wind speed prediction technologies, deep learning-based methods have achieved promising advantages. However, most existing methods focus on learning implicit knowledge in a data-driven manner but neglect some explicit knowledge from the physical t...
Motion Neural Networks, Computer Wind
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