Artificial intelligence based hybrid forecasting approaches for wind power generation: Progress, challenges and prospects
Globally, wind energy is growing rapidly and has received huge consideration to fulfill global
energy requirements. An accurate wind power forecasting is crucial to achieve a stable and …
energy requirements. An accurate wind power forecasting is crucial to achieve a stable and …
Point and interval forecasting of ultra-short-term wind power based on a data-driven method and hybrid deep learning model
D Niu, L Sun, M Yu, K Wang - Energy, 2022 - Elsevier
Accurate and reliable wind power forecasting (WPF) is significant for ensuring power
systems' economic operation and safe dispatching and for reducing the technical and …
systems' economic operation and safe dispatching and for reducing the technical and …
Short-term wind power prediction based on two-layer decomposition and BiTCN-BiLSTM-attention model
In order to solve the security threat brought by the volatility and randomness of large-scale
distributed wind power, this paper proposed a wind power prediction model which integrates …
distributed wind power, this paper proposed a wind power prediction model which integrates …
Spatiotemporal wind power forecasting approach based on multi-factor extraction method and an indirect strategy
S Sun, Z Du, K Jin, H Li, S Wang - Applied Energy, 2023 - Elsevier
Accurate ultra-short-term wind power forecasting is a prerequisite for decision making
related to the management of power systems. Existing approaches used to forecast wind …
related to the management of power systems. Existing approaches used to forecast wind …
Effective machine learning model combination based on selective ensemble strategy for time series forecasting
The success of ensemble forecasting heavily depends on the selection and combination of
component models as proven by numerous studies that show the superior performance of …
component models as proven by numerous studies that show the superior performance of …
A deep asymmetric Laplace neural network for deterministic and probabilistic wind power forecasting
Accurate forecasting of wind power faces two challenges: 1) extracting more effective
information on power fluctuations from limited input features, and 2) constructing a suitable …
information on power fluctuations from limited input features, and 2) constructing a suitable …
A selective review on recent advancements in long, short and ultra-short-term wind power prediction
With large penetration of wind power into power grids, the accurate prediction of wind power
generation is becoming extremely important. Planning, scheduling, maintenance, trading …
generation is becoming extremely important. Planning, scheduling, maintenance, trading …
Copula-based JPDF of wind speed, wind direction, wind angle, and temperature with SHM data
Y Ding, XW Ye, Y Guo - Probabilistic Engineering Mechanics, 2023 - Elsevier
Structural health monitoring (SHM) systems installed on long-span bridges can obtain
environmental data around them. To deeply mine the correlation between types of data, this …
environmental data around them. To deeply mine the correlation between types of data, this …
Wind load assessment with the JPDF of wind speed and direction based on SHM data
Y Ding, XW Ye, Y Guo - Structures, 2023 - Elsevier
The calculation of basic wind speed (wind load) in return period is directly related to the
wind resistance design of long-span bridge, high-rise building and etc. Nowadays, the …
wind resistance design of long-span bridge, high-rise building and etc. Nowadays, the …
[HTML][HTML] Short-term wind power forecasting and uncertainty analysis based on FCM–WOA–ELM–GMM
B Gu, H Hu, J Zhao, H Zhang, X Liu - Energy Reports, 2023 - Elsevier
With large-scale wind power connected to the power grid, accurate short-term wind power
forecasting has become a key technology for safe, economic power grid operation …
forecasting has become a key technology for safe, economic power grid operation …