Review on probabilistic forecasting of wind power generation
Y Zhang, J Wang, X Wang - Renewable and Sustainable Energy Reviews, 2014 - Elsevier
The randomness and intermittence of wind resources is the biggest challenge in the
integration of wind power into the power system. Accurate forecasting of wind power …
integration of wind power into the power system. Accurate forecasting of wind power …
[PDF][PDF] 基于空间相关性的风电功率预测研究综述
叶林， 赵永宁 - 电力系统自动化, 2014 - researchgate.net
由于风电具有很强的随机性和波动性, 因此大规模风电并网会对电力系统的运行和稳定性造成很
大的影响. 如何准确预测区域风电场的功率已经成为当今电力系统亟待解决的研究课题 …
大的影响. 如何准确预测区域风电场的功率已经成为当今电力系统亟待解决的研究课题 …
Ultra-short-term spatiotemporal forecasting of renewable resources: An attention temporal convolutional network-based approach
J Liang, W Tang - IEEE Transactions on Smart Grid, 2022 - ieeexplore.ieee.org
The rapid increase in the penetration of renewable energy resources characterized by high
variability and uncertainty is bringing new challenges to the power system operation. To …
variability and uncertainty is bringing new challenges to the power system operation. To …
Short-term spatio-temporal forecasting of photovoltaic power production
In recent years, the penetration of photovoltaic (PV) generation in the energy mix of several
countries has significantly increased thanks to policies favoring development of renewables …
countries has significantly increased thanks to policies favoring development of renewables …
Correlation-constrained and sparsity-controlled vector autoregressive model for spatio-temporal wind power forecasting
The ever-increasing number of wind farms has brought both challenges and opportunities in
the development of wind power forecasting techniques to take advantage of …
the development of wind power forecasting techniques to take advantage of …
A survey of computational intelligence techniques for wind power uncertainty quantification in smart grids
The high penetration level of renewable energy is thought to be one of the basic
characteristics of future smart grids. Wind power, as one of the most increasing renewable …
characteristics of future smart grids. Wind power, as one of the most increasing renewable …
Online adaptive lasso estimation in vector autoregressive models for high dimensional wind power forecasting
JW Messner, P Pinson - International Journal of Forecasting, 2019 - Elsevier
Wind power forecasts with lead times of up to a few hours are essential to the optimal and
economical operation of power systems and markets. Vector autoregression (VAR) is a …
economical operation of power systems and markets. Vector autoregression (VAR) is a …
Probabilistic forecasts of wind power generation accounting for geographically dispersed information
Forecasts of wind power generation in their probabilistic form are a necessary input to
decision-making problems for reliable and economic power systems operations in a smart …
decision-making problems for reliable and economic power systems operations in a smart …
Short-term wind power combined forecasting based on error forecast correction
With the increasing contribution of wind power to electric power grids, accurate forecasting
of short-term wind power has become particularly valuable for wind farm operators, utility …
of short-term wind power has become particularly valuable for wind farm operators, utility …
Data-driven photovoltaic generation forecasting based on a Bayesian network with spatial–temporal correlation analysis
Spatiotemporal analysis has been recognized as one of the most promising techniques to
improve the accuracy of photovoltaic (PV) generation forecasts. In recent years, PV …
improve the accuracy of photovoltaic (PV) generation forecasts. In recent years, PV …