Boost short-term load forecasts with synthetic data from transferred latent space information

Boost short-term load forecasts with synthetic data from transferred latent space information

Abstract Sustainable energy systems are characterised by an increased integration of renewable energy sources, which magnifies the fluctuations in energy supply. Methods to to cope with these magnified fluctuations, such as load shifting, typically require accurate short-term load forecasts. Althoug...

Full description

Bibliographic Details
Main Authors: Benedikt Heidrich, Lisa Mannsperger, Marian Turowski, Kaleb Phipps, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer
Format: Article
Language:English
Published: SpringerOpen 2022-09-01
Series:Energy Informatics
Subjects:
Short-term load forecasting
Generative methods
Synthetic data
Online Access:https://doi.org/10.1186/s42162-022-00214-7

Internet

https://doi.org/10.1186/s42162-022-00214-7

Similar Items