An Adaptive Ensemble Data Driven Approach for Nonparametric Probabilistic Forecasting of Electricity Load.
Can WanZhaojing CaoWei-Jen LeeYonghua SongPing JuPublished in: IEEE Trans. Smart Grid (2021)
Keyphrases
- load forecasting
- data driven
- short term
- electricity consumption
- power system
- electric power
- long term
- support vector regression
- demand forecasting
- forecasting accuracy
- hierarchical bayesian
- bp neural network
- bayesian networks
- information theoretic
- neural network
- ensemble methods
- generative model
- ensemble learning
- power grid
- load balancing
- probabilistic model
- training set
- rbf neural network
- training data
- power generation
- bayesian modeling
- electricity markets
- feature selection
- forecast models
- medium term
- kernel density estimation
- random forest
- base classifiers
- belief networks
- uncertain data
- stock market