A short-term load forecasting model of multi-scale CNN-LSTM hybrid neural network considering the real-time electricity price

Author:

Guo XifengORCID,Zhao QiannanORCID,Zheng DiORCID,Ning YiORCID,Gao YeORCID

Funder

National Key R&D Program of China

Natural Science Foundation of Liaoning Province

Publisher

Elsevier BV

Subject

General Energy

Reference14 articles.

1. Short-term spatial load forecasting based on partition and classification of power distribution information;Wu;Proc CSU-EPSA,2019

2. Load forecasting based on multi-model by stacking ensemble learning;Shi;Proc CSEE,2019

3. A short-term load forecasting method based on EMD and characteristic correlation analysis;Kong;Autom Electr Power Syst,2019

4. Hybrid Kalman filters for very short-term load forecasting and prediction interval estimation;Guan;IEEE Trans Power Syst,2013

5. A novel RBF training algorithm for short-term electric load forecasting and comparative studies;Cecati;IEEE Trans Ind Electron,2015

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