Research on Wind Power Forecasting Error Based on Gaussian Mixture Distribution Model
2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)（2021）
Abstract
In order to effectively reduce the influence of wind power uncertainty on the power grid and improve the safety of power system operation, it is necessary to carry out fine modeling of wind power forecasting error. Based on the actual wind farm operation data, this paper proposes a generalized Gaussian mixture model to describe the distribution characteristics of its forecasting errors, and uses a...
MoreTranslated text
Key words
Analytical models,Uncertainty,Fitting,Wind power generation,Predictive models,Wind farms,Gaussian distribution
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined