Wind Power Short-Term Forecasting Model Based on the Hierarchical Output Power and Poisson Re-Sampling Random Forest Algorithm.
Jie HaoChangsheng ZhuXiuting GuoPublished in: IEEE Access (2021)
Keyphrases
- short term
- wind power
- long term
- random forest
- learning algorithm
- power generation
- wind speed
- forecasting model
- load forecasting
- medium term
- decision tree learning algorithms
- decision trees
- electricity markets
- optimization algorithm
- support vector machine svm
- particle swarm optimization
- genetic programming
- high dimensional
- short term prediction