Convolutional and LSTM Neural Networks for Solar Power Forecasting.
Gavin FungtammasanIrena KoprinskaPublished in: IJCNN (2023)
Keyphrases
- neural network
- recurrent neural networks
- network architecture
- solar energy
- backpropagation neural networks
- short term
- load forecasting
- power consumption
- artificial neural networks
- multilayer perceptron
- prediction model
- pattern recognition
- back propagation
- fuzzy systems
- feed forward
- multi layer
- weather forecasting
- power generation
- maximum power point tracking
- electricity markets
- exchange rate
- sparse coding
- fuzzy logic
- deep learning
- forecasting model
- global exponential stability
- support vector regression
- soft computing
- probabilistic model