Multi-source-Load Prediction Based on Multi-task Learning

Author:

Yan Zhaokang,Cheng Sida,Shen Jingwen,Jiang Hanyuan,Ma Gang,Zou Wenjin

Publisher

Springer Nature Singapore

Reference11 articles.

1. Zhou, Y., Yang, F., Yu, X., et al.: Realization pathways and key problems of carbon neutrality in china’s energy and power system. Electric Power 55(05), 1–11 (2022). (in Chinese)

2. Cui, Y., Cheng, Z., Xu, P.: Short-term power prediction for wind farm and solar plant clusters based on machine learning method. Electric Power 53(3), 1–7 (2020)

3. Li, J., Li, Q.: Wind power prediction method based on Kriging and LSTM network. Acta Energ. Solaris Sinica 41(11), 241–247 (2020). (in Chinese)

4. Zhang, Y., Yan, J., Lin, A., et al.: Integrated correction method of multi-point numerical weather prediction wind speed and irradiance. Power Generat. Technol. 43(02), 278–286 (2022). (in Chinese)

5. Liu, Y., Lin, A., Yan, J., et al.: Research on power forecasting method for wind farms and photovoltaic stations based on deep learning. Distrib. Energy 6(2), 14–21 (2021). (in Chinese)

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