Discovery Early Career Researcher Award - Grant ID: DE180100628

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE180100628

Funding Status
Active

Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the .

Funded Activity Summary

Machine vision techniques for solar power forecasting and generation. This project aims to advance the research in short-term solar power forecasting and optimise the generation process using machine vision techniques. This project will use 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 three-dimensional 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 three-dimensional 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.

Funded Activity Details

Start Date: 10-04-2018

End Date: 31-07-2023

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $368,446.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Computer Vision | Knowledge Representation and Machine Learning | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Solar-Thermal Electric Energy | Expanding Knowledge in the Information and Computing Sciences |

Other Keywords

Artificial Intelligence and Image Processing | Computer Vision | Expanding Knowledge in the Information and Computing Sciences | Knowledge Representation and Machine Learning | Solar-Thermal Electric Energy

Related Links