Interval forecasting for urban water demand using PSO optimized KDE distribution and LSTM neural networks.
Baigang DuShuo HuangJun GuoHongtao TangLei WangShengwen ZhouPublished in: Appl. Soft Comput. (2022)
Keyphrases
- neural network
- recurrent neural networks
- global exponential stability
- water consumption
- particle swarm optimization
- demand forecasting
- genetic algorithm
- water distribution
- pattern recognition
- particle swarm optimization pso
- swarm intelligence
- particle swarm optimization algorithm
- probability distribution
- particle swarm optimizer
- back propagation
- short term
- artificial neural networks
- particle swarm optimisation
- input pattern
- kernel density estimation
- bp neural network
- genetic algorithm ga
- electricity markets
- prediction model
- fuzzy logic
- pso algorithm
- particle swarm
- density estimation
- hybrid algorithm
- probability density function
- water level
- evolutionary algorithm
- neural network model
- global optimization