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Interval forecasting for urban water demand using PSO optimized KDE distribution and LSTM neural networks

Baigang Du, Shuo Huang, Jun Guo, Hongtao Tang, Lei Wang, Shengwen Zhou

2022Applied Soft Computing135 citationsDOI

Topics & Concepts

Particle swarm optimizationKernel density estimationComputer sciencePrediction intervalInterval (graph theory)Probability density functionKernel (algebra)Mathematical optimizationArtificial neural networkProbability distributionAlgorithmDemand forecastingStatisticsArtificial intelligenceMachine learningMathematicsEstimatorCombinatoricsOperations researchEnergy Load and Power ForecastingWater resources management and optimizationHydrological Forecasting Using AI
Interval forecasting for urban water demand using PSO optimized KDE distribution and LSTM neural networks | Litcius