Wind speed forecasting using nonlinear-learning ensemble of deep learning time series prediction and extremal optimization
As an essential issue in wind energy industry, wind speed forecasting plays a vital role in
optimal scheduling and control of wind energy generation and conversion. In this paper, a …
optimal scheduling and control of wind energy generation and conversion. In this paper, a …
A new short-term wind speed forecasting method based on fine-tuned LSTM neural network and optimal input sets
G Memarzadeh, F Keynia - Energy Conversion and Management, 2020 - Elsevier
In recent years, clean energies, such as wind power have been developed rapidly.
Especially, wind power generation becomes a significant source of energy in some power …
Especially, wind power generation becomes a significant source of energy in some power …
A new hybrid ensemble deep reinforcement learning model for wind speed short term forecasting
Wind speed forecasting is a promising solution to improve the efficiency of energy utilization.
In this study, a novel hybrid wind speed forecasting model is proposed. The whole modeling …
In this study, a novel hybrid wind speed forecasting model is proposed. The whole modeling …
A novel combined forecasting model based on neural networks, deep learning approaches, and multi-objective optimization for short-term wind speed forecasting
J Wang, Y An, Z Li, H Lu - Energy, 2022 - Elsevier
Accurate wind speed prediction has become increasingly important in wind power
generation. However, the lack of efficient data preprocessing techniques and integration …
generation. However, the lack of efficient data preprocessing techniques and integration …
A novel ensemble system for short-term wind speed forecasting based on Two-stage Attention-Based Recurrent Neural Network
Z Zhang, J Wang, D Wei, T Luo, Y Xia - Renewable Energy, 2023 - Elsevier
As the energy crisis intensifies, wind energy generated by wind turbines, commonly known
as a promising renewable energy source, is being more frequently employed. As a result …
as a promising renewable energy source, is being more frequently employed. As a result …
[HTML][HTML] An advanced short-term wind power forecasting framework based on the optimized deep neural network models
SMJ Jalali, S Ahmadian, M Khodayar… - International Journal of …, 2022 - Elsevier
With the continued growth of wind power penetration into conventional power grid systems,
wind power forecasting plays an increasingly competitive role in organizing and deploying …
wind power forecasting plays an increasingly competitive role in organizing and deploying …
[HTML][HTML] A transformer-based deep neural network with wavelet transform for forecasting wind speed and wind energy
This work presents a novel transformer-based deep neural network architecture integrated
with wavelet transform for forecasting wind speed and wind energy (power) generation for …
with wavelet transform for forecasting wind speed and wind energy (power) generation for …
Short-term wind speed forecasting via stacked extreme learning machine with generalized correntropy
Recently, wind speed forecasting as an effective computing technique plays an important
role in advancing industry informatics, while dealing with these issues of control and …
role in advancing industry informatics, while dealing with these issues of control and …
Multi-head attention-based probabilistic CNN-BiLSTM for day-ahead wind speed forecasting
Wind energy is one of the most widely used and fastest-growing renewable energy. Wind
speed prediction is an efficient way to rationally dispatch wind power generation and ensure …
speed prediction is an efficient way to rationally dispatch wind power generation and ensure …
Hourly day-ahead wind power forecasting with the EEMD-CSO-LSTM-EFG deep learning technique
Wind power forecasting has gained significant attention due to advances in wind energy
generation in power frameworks and the uncertain nature of wind. In this manner, to …
generation in power frameworks and the uncertain nature of wind. In this manner, to …