Probabilistic Wind Power Forecasting via Bayesian Deep Learning Based Prediction Intervals.
Honglin WenJie GuJinghuan MaZhijian JinPublished in: INDIN (2019)
Keyphrases
- wind power
- deep learning
- wind speed
- short term
- power generation
- forecasting model
- prediction intervals
- bayesian networks
- neuro fuzzy
- power plant
- wind turbine
- unsupervised learning
- electricity markets
- power system
- machine learning
- regression model
- long term
- weakly supervised
- generative model
- maximum likelihood
- confidence level
- probabilistic model
- mental models
- linear regression model
- conditional probabilities
- model selection
- training data
- decision making
- computer vision