Journal of Marine Science and Engineering, 2023 Wind energy is an effective way to reduce emissions in ports. However, port wind power generation exhibits strong intermittency and randomness. Predicting port wind speed enables timely scheduling of port operations and improves wind energy utilization ...
Yong Gu +6 more
doaj +1 more source
A hierarchical classification/regression algorithm for improving extreme wind speed events prediction [PDF]
, 2022 A novel method for prediction of the extreme wind speed events based on a Hierarchical Classification/Regression (HCR) approach is proposed. The idea is to improve the prediction skills of different Machine Learning approaches on extreme wind speed ...
Deo, Ravinesh C. +11 more
core +1 more source
A novel two-stage data-driven model for ultra-short-term wind speed prediction
Energy Reports, 2022 Accurate prediction of wind speed and its output power is playing an essential role in the planning and scheduling of wind power grid. This study presents a novel two-stage data-driven model for ultra-short-term wind speed prediction based on the ...
Weicheng Hu +8 more
doaj +1 more source
A combined model for short-term wind speed forecasting based on empirical mode decomposition, feature selection, support vector regression and cross-validated lasso [PDF]
PeerJ Computer Science, 2021 Background The planning and control of wind power production rely heavily on short-term wind speed forecasting. Due to the non-linearity and non-stationarity of wind, it is difficult to carry out accurate modeling and prediction through traditional wind ...
Tao Wang
doaj +2 more sources
Wind speed prediction based on multi-channel long short-term memory convolution neural network
电力工程技术, 2022 A wind speed prediction method based on the combination of multi-channel long short-term memory network and convolution neural network is proposed to improve the prediction performance of wind speed.
XIU Chunbo, SU Huan, SU Xuemiao
doaj +1 more source
dscheepens/Deep-RNN-for-extreme-wind-speed-prediction: v1.0.0-alpha
, 2022 Paper code for "An adapted convolutional RNN model for spatio-temporal prediction of wind speed extremes in the short-to-medium range for wind energy ...
Daan Scheepens
core +1 more source
A Novel Self-Adaptive Wind Speed Prediction Model Considering Atmospheric Motion and Fractal Feature
IEEE Access, 2020 Many of the previous investigations predicted wind speed by directly using wind speed data, which rarely considered physical characteristics of wind speed and was difficult to improve prediction accuracy further.
Ji Jin +4 more
doaj +1 more source
Wind Speed Prediction via Collaborative Filtering on Virtual Edge Expanding Graphs
Mathematics, 2022 Accurate and stable wind speed prediction is crucial for the safe operation of large-scale wind power grid connections. Existing methods are typically limited to a certain fixed area when learning the information of the wind speed sequence, which cannot ...
Xiang Ying +6 more
doaj +1 more source
Energy Reports, 2022 The wind speed signal measured by the mechanical anemometer lags behind the wind speed at the wind wheel surface of the wind turbine in time. The wind speed reconstruction algorithm adopted by the ordinary lidar anemometer is insufficient.
Liang Zhang +4 more
doaj +1 more source
Wind Derivatives: Modeling and Pricing [PDF]
, 2013 Wind is considered to be a free, renewable and environmentally friendly source of energy. However, wind farms are exposed to excessive weather risk since the power production depends on the wind speed, the wind direction and the wind duration.
Zapranis, Achilleas +1 more
core +1 more source