Multifactor spatio-temporal correlation model based on a combination of convolutional neural network and long short-term memory neural network for wind speed …
The accurate forecasting of wind speed plays a vital role in the transformation of wind
energy and the dispatching of electricity. However, the inherent intermittence of wind makes …
energy and the dispatching of electricity. However, the inherent intermittence of wind makes …
Conditional aggregated probabilistic wind power forecasting based on spatio-temporal correlation
Aggregated probabilistic wind power forecasting is important for power system operations. In
this paper, an improved aggregated probabilistic wind power forecasting framework based …
this paper, an improved aggregated probabilistic wind power forecasting framework based …
Reliability based modeling and analysis for a wind power system integrated by two wind farms considering wind speed dependence
S Eryilmaz, C Kan - Reliability Engineering & System Safety, 2020 - Elsevier
Integrating multiple wind farms into power systems may reduce the fluctuation in total power
output of wind farms and hence it decreases the system risk resulting from the wind speed …
output of wind farms and hence it decreases the system risk resulting from the wind speed …
Non-parametric generation of multivariate cross-correlated random fields directly from sparse measurements using Bayesian compressive sensing and Markov chain …
Simulation of multivariate cross-correlated random field samples (RFSs) is often required in
reliability analysis of engineering structures. Conventional parametric methods for cross …
reliability analysis of engineering structures. Conventional parametric methods for cross …
Very short-term wind speed prediction using geostatistical kriging with external trend
Y Wang, K Zhu, C Zhu - IOP Conference Series: Earth and …, 2020 - iopscience.iop.org
The prediction of wind speed plays a key role in the determination of the optimal reserve
capacity for different time instants and the reduction of the standby cost of wind power grid …
capacity for different time instants and the reduction of the standby cost of wind power grid …
Short-Term Time Wind Speed Forecasting Based on Spatio-Temporal Geostatistical Approach and Kriging Method
Y Wang, C Zhu, J Zhao, D Wang - international Journal of Pattern …, 2021 - World Scientific
Short-term wind speed prediction is an essential task for wind resource and wind energy
planning. However, most of this literature does not take into account the spatio-termporal …
planning. However, most of this literature does not take into account the spatio-termporal …
A multivariate and space-time stochastic weather generator using a latent Gaussian framework
Stochastic weather generators are probabilistic tools used to simulate synthetic weather time
series whose statistics resemble those observed. These tools face difficulties when it comes …
series whose statistics resemble those observed. These tools face difficulties when it comes …
[图书][B] Probabilistic Renewable Energy Forecasting by Considering Spatial-Temporal Correlation
M Sun - 2020 - search.proquest.com
Renewable energy forecasts can help reduce the amount of operating reserves needed for
the system, reducing costs of balancing the system, and improving the reliability of the …
the system, reducing costs of balancing the system, and improving the reliability of the …
[引用][C] Short-term wind power forecasting: standardization, evaluation and optimization of prediction uncertainty
JMG Sopeña - 2022 - Trinity College Dublin