| Paper ID | SS-L20.3 |
| Paper Title |
Interpretable Machine Learning in Sustainable Edge Computing: A Case Study of Short-term Photovoltaic Power Output Prediction |
| Authors |
Xiaomin Chang, Wei Li, Jin Ma, University of Sydney, Australia; Ting Yang, Tianjin University, China; Albert Zomaya, University of Sydney, Australia |
| Session | SS-L20: Sustainable Networking and Computing through Machine Learning |
| Location | On-Demand |
| Session Time: | Thursday, 07 May, 16:30 - 18:30 |
| Presentation Time: | Thursday, 07 May, 17:10 - 17:30 |
| Presentation |
Lecture
|
| Topic |
Special Sessions: Sustainable Networking and Computing through Machine Learning |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |