An adaptive deep-learning load forecasting framework by integrating transformer and domain knowledge

An adaptive deep-learning load forecasting framework by integrating transformer and domain knowledge

Electrical energy is essential in today's society. Accurate electrical load forecasting is beneficial for better scheduling of electricity generation and saving electrical energy. In this paper, we propose an adaptive deep-learning load forecasting framework by integrating Transformer and domai...

Full description

Bibliographic Details
Main Authors: Jiaxin Gao, Yuntian Chen, Wenbo Hu, Dongxiao Zhang
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Advances in Applied Energy
Subjects:
Load forecasting
Deep-learning
Domain knowledge
Transfer learning
Online learning
Interpretability
Online Access:http://www.sciencedirect.com/science/article/pii/S2666792423000215

Internet

http://www.sciencedirect.com/science/article/pii/S2666792423000215

Similar Items