The future of forecasting for renewable energy
Forecasting for wind and solar renewable energy is becoming more important as the amount
of energy generated from these sources increases. Forecast skill is improving, but so too is …
of energy generated from these sources increases. Forecast skill is improving, but so too is …
A novel offshore wind farm typhoon wind speed prediction model based on PSO–Bi-LSTM improved by VMD
Accurate typhoon wind speed prediction is significant because it enables wind farms to take
advantage of high wind speeds and to simultaneously protect wind turbines from damage …
advantage of high wind speeds and to simultaneously protect wind turbines from damage …
Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks
Recently, the boom in wind power industry has called for the accurate and stable wind
speed forecasting, on which reliable wind power generation systems depend heavily. Due to …
speed forecasting, on which reliable wind power generation systems depend heavily. Due to …
Short-term wind speed prediction based on LMD and improved FA optimized combined kernel function LSSVM
Z Tian - Engineering Applications of Artificial Intelligence, 2020 - Elsevier
Accurate prediction of wind speed is of great significance to the operation and maintenance
of wind farms, the optimal scheduling of turbines, and the safe and stable operation of power …
of wind farms, the optimal scheduling of turbines, and the safe and stable operation of power …
A prediction approach using ensemble empirical mode decomposition‐permutation entropy and regularized extreme learning machine for short‐term wind speed
Z Tian, S Li, Y Wang - Wind Energy, 2020 - Wiley Online Library
Accurate prediction of short‐term wind speed is of great significance to the operation and
maintenance of wind farms, the optimal scheduling of turbines, and the safe and stable …
maintenance of wind farms, the optimal scheduling of turbines, and the safe and stable …
A state-of-the-art review on wind power deterministic prediction
Z Tian - Wind Engineering, 2021 - journals.sagepub.com
With the continuous growth of wind power access capacity, the impact of intermittent and
volatile wind power generation on the grid is becoming more and more obvious, so the …
volatile wind power generation on the grid is becoming more and more obvious, so the …
A novel and hybrid framework based on generative adversarial network and temporal convolutional approach for wind speed prediction
Accurate wind speed forecasting is a precondition for improving grid integration of wind
energy. High-dimensional input is required for wind speed prediction models to deliver …
energy. High-dimensional input is required for wind speed prediction models to deliver …
Wind speed forecasting based on extreme gradient boosting
R Cai, S **e, B Wang, R Yang, D Xu, Y He - IEEE Access, 2020 - ieeexplore.ieee.org
As the integration of wind power into electrical energy network increasing, accurate forecast
of wind speed becomes highly important in the case of large-scale wind power connected …
of wind speed becomes highly important in the case of large-scale wind power connected …
[HTML][HTML] Multi-step wind speed prediction based on LSSVM combined with ESMD and fractional-order beetle swarm optimization
Y Gao, B Wang, F Chen, W Zhang, D Zhou, F Wu… - Energy Reports, 2023 - Elsevier
Accurate and stable wind speed prediction can alleviate the uncertain impacts of wind
power generation caused by nonlinear characteristics of wind speed, and then improve the …
power generation caused by nonlinear characteristics of wind speed, and then improve the …
Dynamic time scan forecasting for multi-step wind speed prediction
Multi-step forecasting of wind speed time series, especially for day-ahead and longer time
horizons, is still a challenging problem in the wind energy sector. In this paper, a novel …
horizons, is still a challenging problem in the wind energy sector. In this paper, a novel …