Current advances and approaches in wind speed and wind power forecasting for improved renewable energy integration: A review
M Santhosh, C Venkaiah… - Engineering …, 2020 - Wiley Online Library
Wind power is playing a pivotal part in global energy growth as it is clean and pollution‐free.
To maximize profits, economic scheduling, dispatching, and planning the unit commitment …
To maximize profits, economic scheduling, dispatching, and planning the unit commitment …
[HTML][HTML] A review of ultra-short-term forecasting of wind power based on data decomposition-forecasting technology combination model
Y Chen, X Hu, L Zhang - Energy Reports, 2022 - Elsevier
The development of renewable clean energy wind power is very rapid. However, the strong
randomness and weak dispatchability of wind power bring significant challenges to wind …
randomness and weak dispatchability of wind power bring significant challenges to wind …
A hybrid attention-based deep learning approach for wind power prediction
Renewable energy, especially wind power, is a practicable and promising solution to
mitigate the existing dilemma associated with climate change. Efficient and accurate …
mitigate the existing dilemma associated with climate change. Efficient and accurate …
Multivariate selection-combination short-term wind speed forecasting system based on convolution-recurrent network and multi-objective chameleon swarm algorithm
J Wang, M Lv, Z Li, B Zeng - Expert Systems with Applications, 2023 - Elsevier
Wind energy, as a typical environmentally friendly source of energy for power generation,
has the advantages of being renewable and emitting no greenhouse gases. Moreover, in …
has the advantages of being renewable and emitting no greenhouse gases. Moreover, in …
Wind speed prediction method using shared weight long short-term memory network and Gaussian process regression
Z Zhang, L Ye, H Qin, Y Liu, C Wang, X Yu, X Yin, J Li - Applied energy, 2019 - Elsevier
Wind energy has received more and more attention around the world since it is a kind of
clean, economical and renewable energy. However, the strong randomness of the wind …
clean, economical and renewable energy. However, the strong randomness of the wind …
Probabilistic spatiotemporal wind speed forecasting based on a variational Bayesian deep learning model
Y Liu, H Qin, Z Zhang, S Pei, Z Jiang, Z Feng, J Zhou - Applied Energy, 2020 - Elsevier
Reliable and accurate probabilistic forecasting of wind speed is of vital importance for the
utilization of wind energy and operation of power systems. In this paper, a probabilistic …
utilization of wind energy and operation of power systems. In this paper, a probabilistic …
Wind speed prediction model using singular spectrum analysis, empirical mode decomposition and convolutional support vector machine
X Mi, H Liu, Y Li - Energy conversion and management, 2019 - Elsevier
Accurate wind speed forecasting is critical to the exploitation and utilization of wind energy.
In this paper, a novel wind speed multi-step prediction model is designed based on the SSA …
In this paper, a novel wind speed multi-step prediction model is designed based on the SSA …
A gated recurrent unit neural networks based wind speed error correction model for short-term wind power forecasting
M Ding, H Zhou, H Xie, M Wu, Y Nakanishi… - Neurocomputing, 2019 - Elsevier
With the growing penetration of wind power, the wind power forecasting is fundamental in
aiding the grid scheduling and electricity trading. In this paper, a numerical weather …
aiding the grid scheduling and electricity trading. In this paper, a numerical weather …
A hybrid forecasting system based on fuzzy time series and multi-objective optimization for wind speed forecasting
P Jiang, H Yang, J Heng - Applied energy, 2019 - Elsevier
Wind speed forecasting is fundamental to the dispatching, controllability, and stability of the
power grid. As a challenging but essential work, wind speed forecasting has attracted …
power grid. As a challenging but essential work, wind speed forecasting has attracted …
Hybrid forecasting system based on data area division and deep learning neural network for short-term wind speed forecasting
Z Liu, R Hara, H Kita - Energy Conversion and Management, 2021 - Elsevier
Wind speed forecasting is essential for the dispatch, controllability, and stability of power
grids, and its accuracy is vital to the effective use of wind resources. In this study, a novel …
grids, and its accuracy is vital to the effective use of wind resources. In this study, a novel …