ES-dRNN with Dynamic Attention for Short-Term Load Forecasting
Author:
Affiliation:
1. Meta,Menlo Park,CA,USA,94025
2. Czestochowa University of Technology,Department of Electrical Engineering,Czestochowa,Poland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9891857/9889787/09889791.pdf?arnumber=9889791
Reference27 articles.
1. Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting
2. Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network
3. A Novel Hybrid Short-Term Load Forecasting Method of Smart Grid Using MLR and LSTM Neural Network
4. ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting;smyl;ArXiv,2021
5. A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting
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