Research on Transformer Power Load Prediction with Multiple Meteorological Factors

Author:

Yao Xun1,Geng Pengbiao1,Zhu Jian1,Wei Jiajun1,Wang Mengmeng1,Xu Mei1

Affiliation:

1. State Grid Zhenjiang Power Supply Company,Zhenjiang,China

Publisher

IEEE

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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