Day-Ahead Spatiotemporal Wind Speed Forecasting Based on a Hybrid Model of Quantum and Residual Long Short-Term Memory Optimized by Particle Swarm Algorithm.
Ying-Yi HongJay Bhie D. SantosPublished in: IEEE Syst. J. (2023)
Keyphrases
- hybrid model
- wind speed
- particle swarm algorithm
- wind power
- short term
- forecasting accuracy
- optimization scheme
- long term
- particle swarm
- arima model
- job shop scheduling problem
- wind turbine
- particle swarm optimisation
- meteorological data
- artificial neural networks
- hybrid algorithm
- power generation
- autoregressive conditional heteroscedasticity
- support vector regression
- recurrent neural networks
- forecasting model
- wind farm
- particle swarm optimization
- load forecasting
- power plant
- particle swarm optimization algorithm
- genetic algorithm
- short term prediction
- optimisation problems
- metaheuristic
- support vector machine svm
- scheduling problem
- decision making
- machine learning