Multi-Step Hourly Power Consumption Forecasting in a Healthcare Building with Recurrent Neural Networks and Empirical Mode Decomposition.
Daniel Fernández-MartínezMiguel A. Jaramillo MoránPublished in: Sensors (2022)
Keyphrases
- power consumption
- recurrent neural networks
- multi step
- empirical mode decomposition
- stock market prediction
- short term
- low power
- non stationary
- chaotic time series
- long term
- feed forward
- neural network
- echo state networks
- hilbert huang transform
- power management
- k nearest neighbor
- knn
- power reduction
- artificial neural networks
- energy saving
- intrinsic mode functions
- power dissipation
- pattern recognition
- wavelet decomposition
- forecasting model
- high frequency
- training set