AIMC Topic: Wind

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Research on adaptive combined wind speed prediction for each season based on improved gray relational analysis.

Environmental science and pollution research international Sep 15, 2022
The stability of the power grid and the operational security of the power system depend on the precise prediction of wind speed. In consideration of the nonlinear and non-stationary characteristics of wind speed in different seasons, this paper emplo...
Machine Learning Forecasting Wind Computer Simulation Seasons
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Machine learning and features for the prediction of thermal sensation and comfort using data from field surveys in Cyprus.

International journal of biometeorology Jul 27, 2022
Perception can influence individuals' behaviour and attitude affecting responses and compliance to precautionary measures. This study aims to investigate the performance of methods for thermal sensation and comfort prediction. Four machine learning a...
Thermosensing Wind Cyprus Humans Machine Learning Temperature
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Short-Term Demand Forecasting Method in Power Markets Based on the KSVM-TCN-GBRT.

Computational intelligence and neuroscience Apr 30, 2022
With the consumption of new energy and the variability of user activity, accurate and fast demand forecasting plays a crucial role in modern power markets. This paper considers the correlation between temperature, wind speed, and real-time electricit...
Electricity Wind Forecasting Support Vector Machine Research Design
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Multi-step wind speed forecasting based on a hybrid decomposition technique and an improved back-propagation neural network.

Environmental science and pollution research international Feb 26, 2022
Accurate wind speed forecasting (WSF) not only ensures stable power system operation but also contributes to enhancing the competitiveness of wind power companies in the market. In this paper, a hybrid prediction model based on secondary decompositio...
Forecasting Wind Neural Networks, Computer Algorithms Wavelet Analysis
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Modeling Soil Temperature for Different Days Using Novel Quadruplet Loss-Guided LSTM.

Computational intelligence and neuroscience Feb 17, 2022
Soil temperature ( ), a key variable in geosciences study, has generated growing interest among researchers. There are many factors affecting the spatiotemporal variation of , which poses immense challenges for the estimation. To enrich processi...
Neural Networks, Computer Temperature Soil Wind
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Using multiple linear regression and BP neural network to predict critical meteorological conditions of expressway bridge pavement icing.

PloS one Feb 4, 2022
Icy bridge deck in winter has tremendous consequences for expressway traffic safety, which is closely related to the bridge pavement temperature. In this paper, the critical meteorological conditions of icy bridge deck were predicted by multiple line...
Pressure Ice Meteorology Meteorological Concepts Linear Models Cold Temperature Weather Environmental Monitoring Regression Analysis Air Pollutants Safety Wind Neural Networks, Computer China
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Modelling the reference crop evapotranspiration in the Beas-Sutlej basin (India): an artificial neural network approach based on different combinations of meteorological data.

Environmental monitoring and assessment Feb 3, 2022
Accurate prediction of the reference evapotranspiration (ET) is vital for estimating the crop water requirements precisely. In this study, we developed multi-layer perceptron artificial neural network (MLP-ANN) models considering different combinatio...
Temperature Wind Neural Networks, Computer Plant Transpiration Crops, Agricultural Meteorology India Environmental Monitoring
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Artificial neural network-based adaptive control for a DFIG-based WECS.

ISA transactions Dec 10, 2021
This paper presents an artificial neural network-based adaptive control approach for a doubly-fed induction generator (DFIG) based wind energy conversion system (WECS). The control objectives are: (1) extraction of maximum available power from the wi...
Neural Networks, Computer Electric Power Supplies Computer Simulation Physical Phenomena Wind
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Weather forecasting based on data-driven and physics-informed reservoir computing models.

Environmental science and pollution research international Nov 25, 2021
In response to the growing demand for the global energy supply chain, wind power has become an important research subject among studies in the advancement of renewable energy sources. The major concern is the stochastic volatility of weather conditio...
Physics Neural Networks, Computer Forecasting Wind Weather
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Artificial neural network-based output power prediction of grid-connected semitransparent photovoltaic system.

Environmental science and pollution research international Sep 13, 2021
The solar photovoltaic system is an emerging renewable energy resource. The performance of the solar photovoltaic system is predicted based on the historical experimental dataset. In this work, the real-time prediction models are developed for the ou...
Solar Energy Computer Simulation Renewable Energy Wind Neural Networks, Computer
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