A new wind power interval prediction approach based on reservoir computing and a quality-driven loss function.
Jianming HuYingying LinJingwei TangJing ZhaoPublished in: Appl. Soft Comput. (2020)
Keyphrases
- loss function
- reservoir computing
- wind power
- pairwise
- support vector
- recurrent neural networks
- prediction accuracy
- risk minimization
- wind speed
- short term
- short term prediction
- convex loss functions
- power generation
- machine learning
- power system
- reproducing kernel hilbert space
- electricity markets
- model selection
- decision support system
- fuzzy sets
- least squares
- support vector machine
- objective function