Short-term forecasting electricity load by long short-term memory and reinforcement learning for optimization of hyper-parameters.
Thi Ngoc Anh NguyenTien Dat DangElena VerdúVijender Kumar SolankiPublished in: Evol. Intell. (2023)
Keyphrases
- short term
- load forecasting
- hyperparameters
- long term
- reinforcement learning
- model selection
- cross validation
- support vector
- bayesian inference
- closed form
- prior information
- random sampling
- support vector regression
- optimization algorithm
- power generation
- long term memory
- bayesian framework
- power system
- forecasting model
- short term and long term
- em algorithm
- electric power
- wind speed
- stock market
- medium term
- noise level
- incremental learning
- maximum likelihood
- missing values
- sample size
- incomplete data
- parameter space
- neural network
- maximum a posteriori
- state space
- evolutionary algorithm
- wind power
- training set
- bayesian networks