Energy demand forecasting of the greenhouses using nonlinear models based on model optimized prediction method.
Jiaoliao ChenJiangxin YangJiangwu ZhaoFang XuSheng ZhengLibin ZhangPublished in: Neurocomputing (2016)
Keyphrases
- nonlinear models
- linear model
- prediction model
- probabilistic model
- parameter estimation
- mathematical model
- linear models
- statistical model
- hybrid model
- exponential smoothing
- forecasting accuracy
- bp neural network
- prior information
- rbf neural network
- bayesian inference
- statistical models
- cross validation
- support vector machine svm
- multi objective
- neural network
- loss function
- forecasting model
- pairwise
- data mining