A Electricity Price Prediction Method Based on Improved Long Short Term Memory for High Proportion New Energy Electricity Markets
Author:
Affiliation:
1. College of Electrical Engineering and Automation, Fuzhou University,Fuzhou,China
2. State Grid Fujian Marketing Service Center (Metering Center and Integrated Capital Center),Fuzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10511272/10512350/10512686.pdf?arnumber=10512686
Reference11 articles.
1. A hybrid ARMA-Legendre polynomial neural network and evolutionary H-infinity filter for the prediction of electricity market clearing price
2. Electricity Cost Prediction using Autoregressive Integrated Moving Average (ARIMA) in Korea
3. Tunable-Q Wavelet Transform and Dual Multiclass SVM for Online Automatic Detection of Power Quality Disturbances
4. Supervised electricity tariff prediction using random forest validated through user comfort and constraint for a home energy management scheme
5. ImageNet classification with deep convolutional neural networks
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