Forecasting Electricity Demand with Dynamic Characteristics Based on Signal Analysis and Machine Learning.
Masato UtsumiIkuo ShigemoriTohru WatanabePublished in: SICE (2020)
Keyphrases
- signal analysis
- dynamic characteristics
- demand forecasting
- machine learning
- electricity markets
- forecasting accuracy
- neural network model
- electricity consumption
- signal processing
- load forecasting
- multiresolution
- power system
- short term
- empirical mode decomposition
- forecast models
- pattern recognition
- neural network
- wind power
- wavelet decomposition
- transmission line
- feature extraction
- computer vision
- adaptive learning
- learning algorithm
- computational intelligence
- image processing
- artificial neural networks
- learning systems
- feature selection
- artificial intelligence