Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models

J Wang, Y Song, F Liu, R Hou - Renewable and Sustainable Energy …, 2016 - Elsevier
Wind energy, which is clean, inexhaustible and free, has been used to mitigate the crisis of
conventional resource depletion. However, wind power is difficult to implement on a large …

A comprehensive review of wind resource assessment

KSR Murthy, OP Rahi - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
A minor deviation in wind speed causes large deviation in the output power of wind turbine
because of cubic bond association between these two parameters. Therefore, a precise …

Predictive deep Boltzmann machine for multiperiod wind speed forecasting

CY Zhang, CLP Chen, M Gan… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
It is important to forecast the wind speed for managing operations in wind power plants.
However, wind speed prediction is extremely complex and difficult due to the volatility and …

Data-driven correction approach to refine power curve of wind farm under wind curtailment

Y Zhao, L Ye, W Wang, H Sun, Y Ju… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Regardless of the rapid development of wind power capacity installation around the world,
wind curtailment is a severe problem to be solved. Wind curtailment can cause abundant …

Data-driven missing data imputation for wind farms using context encoder

W Liao, B Bak-Jensen, JR Pillai… - Journal of Modern …, 2021 - ieeexplore.ieee.org
High-quality datasets are of paramount importance for the operation and planning of wind
farms. However, the datasets collected by the supervisory control and data acquisition …

Adaptive confidence boundary modeling of wind turbine power curve using SCADA data and its application

Y Hu, Y Qiao, J Liu, H Zhu - IEEE Transactions on Sustainable …, 2018 - ieeexplore.ieee.org
With the rapid development of wind power industry recently, huge data source are
accumulated by the widespread supervisory control and data acquisition systems. The data …

An ultra-short-term wind speed correction method based on the fluctuation characteristics of wind speed

X Xiong, R Zou, T Sheng, W Zeng, X Ye - Energy, 2023 - Elsevier
The WRF model cannot produce an accurate wind speed prediction to guarantee the steady
operation of wind farms due to the inability of wind farms to acquire meteorological …

[HTML][HTML] A review of approaches for the detection and treatment of outliers in processing wind turbine and wind farm measurements

M Zou, SZ Djokic - Energies, 2020 - mdpi.com
Due to the significant increase of the number of wind-based electricity generation systems, it
is important to have accurate information on their operational characteristics, which are …

[HTML][HTML] A novel and robust wind speed prediction method based on spatial features of wind farm cluster

M Zhang, Y Wang, H Zhang, Z Peng, J Tang - Mathematics, 2023 - mdpi.com
Wind energy has been widely used in recent decades to achieve green and sustainable
development. However, wind speed prediction in wind farm clusters remains one of the less …

Enhancement of Texas wind turbine power predictions using fractional order neural network by incorporating machine learning models to impute missing data

B Ramadevi, VR Kasi, K Bingi - Knowledge-Based Systems, 2024 - Elsevier
In real-world datasets, missed data is often expected due to sensor errors, environmental
conditions, communication errors, and other technical limitations. These factors can affect …