Ultra-short-term Prediction of Small-sample Photovoltaic Power Based on WGAN-GP and BiLSTM-NGO

Author:

Huang Liwen1,Tang Lan1,Wang Chenglei1,Chen Yun1

Affiliation:

1. Kunming University of Science and Technology School of Electric Power Engineering Kunming University of Science and Technology,Kunming,China

Publisher

IEEE

Reference18 articles.

1. An Empirical Study on China’s Energy Supply-and-Demand Model Considering Carbon Emission Peak Constraints in 2030

2. Forecasting of Short-Term power based on just-in-time learning[J];Zhu;Power System Protection and Control,2020

3. Electric Load Forecasting for Internet of Things Smart Home Using Hybrid PCA and ARIMA Algorithm

4. IoT-Based SCADA System Design and Generation Forecasting for Hydropower Station

5. Review of power forecast methods for photovoltaic generating system[J];LI;Electric Drive,2016

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