Electricity Consumption Forecast Based on Empirical Mode Decomposition and Gated Recurrent Unit Hybrid Model.
Qi WangRongheng LinYao ZhaoHua ZouPublished in: ICCT (2020)
Keyphrases
- hybrid model
- empirical mode decomposition
- electricity consumption
- forecasting accuracy
- arima model
- non stationary
- artificial neural networks
- electric power
- stock market prediction
- support vector regression
- multi band
- hybrid models
- intrinsic mode functions
- hilbert huang transform
- feed forward
- load forecasting
- economic development
- support vector machine svm
- wavelet decomposition
- energy saving
- energy consumption
- autoregressive conditional heteroscedasticity
- recurrent neural networks
- forecasting model
- growth rate
- short term
- support vector machine
- kernel function
- multiresolution
- feature extraction
- genetic algorithm
- machine learning
- data mining