Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models
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 …
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 …
because of cubic bond association between these two parameters. Therefore, a precise …
Predictive deep Boltzmann machine for multiperiod wind speed forecasting
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 …
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
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 …
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 …
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 …
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 …
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 …
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
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 …
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 …
conditions, communication errors, and other technical limitations. These factors can affect …