Research on Transformer Power Load Prediction with Multiple Meteorological Factors
Author:
Affiliation:
1. State Grid Zhenjiang Power Supply Company,Zhenjiang,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10406301/10408741/10408847.pdf?arnumber=10408847
Reference11 articles.
1. Electric load forecasting using an artificial neural network
2. Short-term load forecasting based on LSTM deep neural network and improved kernel extreme learning machine, [D];Zhang;School of Economics and Management,2019
3. Research on Short-term load forecasting of power system based on lianyungang, [D];Song;Nanjing University of Science & Technology,2013
4. Improved deep belief networks and multi-feature fusion for leaf identification
5. Sound quality prediction of vehicle interior noise using deep belief networks
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