Solar Irradiance Anticipative Transformer
- Resource Type
- Conference
- Authors
- Mercier, Thomas M.; Rahman, Tasmiat; Sabet, Amin
- Source
- 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) CVPRW Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 IEEE/CVF Conference on. :2065-2074 Jun, 2023
- Subject
- Computing and Processing
Engineering Profession
Training
Computer vision
Conferences
Predictive models
Feature extraction
Transformers
Decoding
- Language
- ISSN
- 2160-7516
This paper proposes an anticipative transformer-based model for short-term solar irradiance forecasting. Given a sequence of sky images, our proposed vision transformer encodes features of consecutive images, feeding into a transformer decoder to predict irradiance values associated with future unseen sky images. We show that our model effectively learns to attend only to relevant features in images in order to forecast irradiance. Moreover, the proposed anticipative transformer captures long-range dependencies between sky images to achieve a forecasting skill of 21.45 % on a 15 minute ahead prediction for a newly introduced dataset of all-sky images when compared to a smart persistence model.