A review of modern wind power generation forecasting technologies
WC Tsai, CM Hong, CS Tu, WM Lin, CH Chen - Sustainability, 2023 - mdpi.com
The prediction of wind power output is part of the basic work of power grid dispatching and
energy distribution. At present, the output power prediction is mainly obtained by fitting and …
energy distribution. At present, the output power prediction is mainly obtained by fitting and …
A wind speed correction method based on modified hidden Markov model for enhancing wind power forecast
Short-term wind power forecast (WPF) depends highly on the wind speed forecast (WSF),
which is the prime contributor to the forecasting error. To achieve more accurate WPF …
which is the prime contributor to the forecasting error. To achieve more accurate WPF …
Very short-term forecasting of wind power generation using hybrid deep learning model
Accurate forecasting of wind power generation plays a key role in improving the operation
and management of a power system network and thereby its reliability and security …
and management of a power system network and thereby its reliability and security …
Using enhanced crow search algorithm optimization-extreme learning machine model to forecast short-term wind power
LL Li, ZF Liu, ML Tseng, K Jantarakolica… - Expert Systems with …, 2021 - Elsevier
The strong volatility and randomness of wind power impact the grid and reduce the voltage
quality of the grid when wind power is connected to the grid in large scale. The power sector …
quality of the grid when wind power is connected to the grid in large scale. The power sector …
An online-learning-enabled self-attention-based model for ultra-short-term wind power forecasting
Renewable wind power accounts for an increasing proportion of the smart grid nowadays.
The intermittent and fluctuating nature of wind renders wind power forecasting important …
The intermittent and fluctuating nature of wind renders wind power forecasting important …
Probabilistic prediction of regional wind power based on spatiotemporal quantile regression
Different from power prediction for a single wind farm, the regional wind power prediction is
to predict the total power of multiple wind farms located in the same region. Normally …
to predict the total power of multiple wind farms located in the same region. Normally …
A review of short‐term wind power probabilistic forecasting and a taxonomy focused on input data
IK Bazionis, PA Karafotis… - IET Renewable Power …, 2022 - Wiley Online Library
A review of state‐of‐the‐art short‐term wind power probabilistic forecasting models is the
focus here. The improvement of the accuracy and efficiency of probabilistic forecasting …
focus here. The improvement of the accuracy and efficiency of probabilistic forecasting …
A two-channel deep network based model for improving ultra-short-term prediction of wind power via utilizing multi-source data
Data-driven predictions of wind turbine power outputs have received numerous discussions
with using turbine data from the supervisory control and data acquisition (SCADA) system …
with using turbine data from the supervisory control and data acquisition (SCADA) system …
Short-term wind power forecasting based on meteorological feature extraction and optimization strategy
Accurate wind power forecasting is a vital factor in day-ahead dispatch and increasing the
level of penetration of renewable energy. The feature extraction of meteorological factors …
level of penetration of renewable energy. The feature extraction of meteorological factors …
Bayesian CNN-BiLSTM and vine-GMCM based probabilistic forecasting of hour-ahead wind farm power outputs
The importance of the accurate forecasting of power outputsof wind-based generation
systems is increasing, as their contributions to the total system generation are rising …
systems is increasing, as their contributions to the total system generation are rising …