A two-stage framework for short-term wind power forecasting using different feature-learning models.
Jiancheng QinJin YangYing ChenQiang YePublished in: CoRR (2020)
Keyphrases
- short term
- wind power
- long term
- wind speed
- learning models
- forecasting model
- power generation
- load forecasting
- medium term
- short term prediction
- semi supervised learning
- wind turbine
- power system
- loss function
- genetic algorithm
- fuzzy logic
- active learning
- feature vectors
- artificial neural networks
- arima model
- learning algorithm