LSTM-Attention-Embedding Model-Based Day-Ahead Prediction of Photovoltaic Power Output Using Bayesian Optimization.
Tongguang YangBin LiQian XunPublished in: IEEE Access (2019)
Keyphrases
- short term
- stochastic programming
- prediction accuracy
- load forecasting
- prediction algorithm
- global optimization
- optimization algorithm
- bayesian networks
- data driven
- optimization problems
- vector space
- power consumption
- prediction error
- posterior probability
- prediction model
- power generation
- electricity markets
- solar energy
- power losses
- historical data
- multi objective
- long term