Integrating a softened multi-interval loss function into neural networks for wind power prediction.
Jianming HuWeigang ZhaoJingwei TangQingxi LuoPublished in: Appl. Soft Comput. (2021)
Keyphrases
- loss function
- short term prediction
- neural network
- wind power
- short term
- wind speed
- pairwise
- global exponential stability
- power generation
- support vector
- prediction model
- prediction accuracy
- power system
- neural network model
- risk minimization
- long term
- neuro fuzzy
- artificial neural networks
- similarity measure
- prediction error
- fault diagnosis
- power plant
- genetic algorithm
- computational intelligence
- fuzzy logic
- support vector machine