An electricity load forecasting model for Integrated Energy System based on BiGAN and transfer learning

An electricity load forecasting model for Integrated Energy System based on BiGAN and transfer learning

Integrated Energy System (IES) is able to collaborate various energy systems and boost energy supply efficiency. To further facilitate the energy scheduling in IES, load forecasting model of the system is required to describe the conditions continuously on a future time span. While the IES is a serv...

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Bibliographic Details
Main Authors:	Dengji Zhou, Shixi Ma, Jiarui Hao, Dong Han, Dawen Huang, Siyun Yan, Taotao Li
Format:	Article
Language:	English
Published:	Elsevier 2020-11-01
Series:	Energy Reports
Subjects:	Integrated energy system Deep learning Load forecast Bidirectional Generative Adversarial Networks Transfer learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S235248472031711X

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