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cs.LG2025★ 4 cited
Learning and Generating Diverse Residential Load Patterns Using GAN with Weakly-Supervised Training and Weight Selection
Xinyu Liang, Hao Wang
The scarcity of high-quality residential load data can pose obstacles for decarbonizing the residential sector as well as effective grid planning and operation. The above challenge…
cs.LG2024★ 16 cited
Synthetic Data Generation for Residential Load Patterns via Recurrent GAN and Ensemble Method
Xinyu Liang, Ziheng Wang, Hao Wang
Generating synthetic residential load data that can accurately represent actual electricity consumption patterns is crucial for effective power system planning and operation. The n…