Hourly day-ahead wind power forecasting with the EEMD-CSO-LSTM-EFG deep learning technique.
Shobana DeviG. MaragathamK. BoopathiA. G. RangarajPublished in: Soft Comput. (2020)
Keyphrases
- wind power
- deep learning
- wind speed
- swarm optimization
- short term
- renewable energy
- unsupervised learning
- long term
- swarm intelligence
- forecasting model
- power generation
- machine learning
- recurrent neural networks
- load forecasting
- wind turbine
- mental models
- weakly supervised
- pso algorithm
- particle swarm optimization pso
- short term prediction
- power plant
- neural network
- global optimization
- dimensionality reduction
- computational intelligence
- feature vectors
- pattern recognition