Hybrid deep learning and quantum-inspired neural network for day-ahead spatiotemporal wind speed forecasting.
Ying-Yi HongChristian Lian Paulo P. RiofloridoWeina ZhangPublished in: Expert Syst. Appl. (2024)
Keyphrases
- wind speed
- deep learning
- wind power
- quantum inspired
- short term
- neural network
- short term prediction
- binary gravitational search algorithm
- long term
- quantum computing
- unsupervised learning
- wind farm
- wind turbine
- forecasting model
- meteorological data
- immune clonal
- genetic algorithm
- machine learning
- mental models
- artificial neural networks
- neural network model
- bp neural network
- neuro fuzzy
- weakly supervised
- fault diagnosis
- recurrent neural networks
- pattern recognition
- fuzzy logic
- back propagation
- levenberg marquardt
- load forecasting
- moving objects
- power plant
- electricity markets
- semi supervised
- mutation operator
- d objects
- knn
- radial basis function
- object recognition
- computer vision
- artificial intelligence