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A dual-scale deep learning model based on ELM-BiLSTM and improved reptile search algorithm for wind power prediction
J **ong, T Peng, Z Tao, C Zhang, S Song, MS Nazir - Energy, 2023 - Elsevier
Accurate wind power forecast is critical to the efficient and safe running of power systems. A
hybrid model that combines complementary ensemble empirical mode decomposition …
hybrid model that combines complementary ensemble empirical mode decomposition …
Robust multi-step wind speed forecasting based on a graph-based data reconstruction deep learning method
K Wang, XY Tang, S Zhao - Expert Systems with Applications, 2024 - Elsevier
Against global warming, wind energy has increasingly become a stable form of power
supply. Accurate prediction of wind speed is crucial for turbine control and wind farm …
supply. Accurate prediction of wind speed is crucial for turbine control and wind farm …
A hybrid VMD based contextual feature representation approach for wind speed forecasting
Accurate wind speed prediction is critical for efficient power system operation, regulation,
security analysis, and energy trading. However, the stochastic nature of the wind makes …
security analysis, and energy trading. However, the stochastic nature of the wind makes …
Ultra-short-term wind power prediction model based on fixed scale dual mode decomposition and deep learning networks
J Huo, J Xu, C Chang, C Li, C Qi, Y Li - Engineering Applications of …, 2024 - Elsevier
In recent years, decomposition-based combination models have been widely used in wind
power prediction. This type of method decomposes the highly volatile wind power into some …
power prediction. This type of method decomposes the highly volatile wind power into some …
[HTML][HTML] A hybrid physics-based and data-driven model for intra-day and day-ahead wind power forecasting considering a drastically expanded predictor search …
This work presents a novel hybrid (physics-and data-driven) model for short-term (intra-day
and day-ahead, 3h-24h) wind power forecasting (STWPF). Traditionally, STWPF predictors …
and day-ahead, 3h-24h) wind power forecasting (STWPF). Traditionally, STWPF predictors …
A big data-handling machine learning model for membrane-based absorber reactors in sorption heat transformers
Membrane-based absorbers have received much attention recently due to their higher
absorption rates than conventional absorbers. Several studies have been conducted to …
absorption rates than conventional absorbers. Several studies have been conducted to …
Wind speed prediction utilizing dynamic spectral regression broad learning system coupled with multimodal information
Z Gu, Y Shen, Z Wang, J Qiu, W Li, C Huang… - … Applications of Artificial …, 2024 - Elsevier
As the integration of wind energy into the power system increases, accurate wind speed
prediction becomes crucial to ensure the reliable and economically efficient operation of the …
prediction becomes crucial to ensure the reliable and economically efficient operation of the …
[HTML][HTML] Machine-learning-based estimate of the wind speed over complex terrain using the long short-term memory (LSTM) recurrent neural network
CM Leme Beu, E Landulfo - Wind Energy Science, 2024 - wes.copernicus.org
Accurate estimation of the wind speed profile is crucial for a range of activities such as wind
energy and aviation. The power law and the logarithmic-based profiles have been widely …
energy and aviation. The power law and the logarithmic-based profiles have been widely …
[HTML][HTML] Impact of synoptic circulation patterns on renewable energy-related variables over China
M Li, J Yao, Y Shen, B Yuan, I Simmonds, Y Liu - Renewable Energy, 2023 - Elsevier
This study investigates the influence of atmospheric circulation patterns on the day-to-day
variabilities of renewable energy-and demand-related variables (temperature, wind speed …
variabilities of renewable energy-and demand-related variables (temperature, wind speed …
Decomposition based deep projection-encoding echo state network for multi-scale and multi-step wind speed prediction
T Li, Z Guo, Q Li - Expert Systems with Applications, 2025 - Elsevier
Accurate wind speed forecasting is essential to improve the scheduling and the utilization
ratio of wind power. However, it is challenging to accurately forecast the wind speed …
ratio of wind power. However, it is challenging to accurately forecast the wind speed …