Data generation scheme for photovoltaic power forecasting using Wasserstein GAN with gradient penalty combined with autoencoder and regression models

Author:

Park Sungwoo,Moon Jaeuk,Hwang Eenjun

Funder

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Reference56 articles.

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3. Deep attention ConvLSTM-based adaptive fusion of clear-sky physical prior knowledge and multivariable historical information for probabilistic prediction of photovoltaic power;Bai;Expert Syst. Appl.,2022

4. Deep graph gated recurrent unit network-based spatial–temporal multi-task learning for intelligent information fusion of multiple sites with application in short-term spatial–temporal probabilistic forecast of photovoltaic power;Bai;Expert Syst. Appl.,2024

5. Pearson Correlation Coefficient;Benesty;Noise Reduction in Speech Processing,2009

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