Project Details
Description
This project aims to advance the research in short-term solar power forecasting and optimise the generation process using machine vision techniques. The proposal uses cameras to capture images of sky and mirror surfaces of heliostats. The scientific novelties are the exploration of geometry-aware feature representations for solar power prediction and building 3D models of mirror surfaces of heliostats to optimise the solar power generation process. The outcome is a working prototype to boost the solar power forecasting accuracy and a 3D reconstruction system to be helpful for the solar power generation . These outcomes will highly benefit the short-term solar power forecasting, generation and electricity grid management systems.
Status | Finished |
---|---|
Effective start/end date | 10/04/18 → 31/07/23 |
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.