Decomposition aided attention-based recurrent neural networks for multistep ahead time-series forecasting of renewable power generation.
Robertas DamaseviciusLuka JovanovicAleksandar PetrovicMiodrag ZivkovicNebojsa BacaninDejan JovanovicMilos AntonijevicPublished in: PeerJ Comput. Sci. (2024)
Keyphrases
- recurrent neural networks
- power generation
- power system
- neuro fuzzy
- artificial neural networks
- unit commitment
- short term
- wind power
- neural network
- feed forward
- power plant
- recurrent networks
- renewable energy sources
- production cost
- echo state networks
- stochastic programming
- electricity markets
- electric power systems
- long term
- load forecasting
- computational intelligence
- machine learning
- back propagation
- electric power
- wind turbine
- expert systems
- data mining