Conditional Tabular GAN-Based Two-Stage Data Generation Scheme for Short-Term Load Forecasting

Conditional Tabular GAN-Based Two-Stage Data Generation Scheme for Short-Term Load Forecasting

Load forecasting is one of the critical tasks for enhancing the energy efficiency of smart grids. Even though recent deep learning-based load forecasting models have shown excellent forecasting performance, one of the common problems they faced was that their forecasting accuracy was highly dependen...

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Bibliographic Details
Main Authors:	Jaeuk Moon, Seungwon Jung, Sungwoo Park, Eenjun Hwang
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	IEEE Access
Subjects:	Short-term load forecasting smart grid conditional generative adversarial networks
Online Access:	https://ieeexplore.ieee.org/document/9253644/
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