Empirical Mode Decomposition Based Deep Learning for Electricity Demand Forecasting.
Jatin BediDurga ToshniwalPublished in: IEEE Access (2018)
Keyphrases
- demand forecasting
- deep learning
- empirical mode decomposition
- non stationary
- historical data
- supply chain
- unsupervised learning
- machine learning
- multi band
- forecasting accuracy
- wavelet decomposition
- weakly supervised
- mental models
- water resources
- wavelet transform
- object detection
- artificial neural networks
- high frequency
- high dimensional
- multiscale
- image processing
- data mining