Machine vision techniques for solar power forecasting and generation

用于太阳能预测和发电的机器视觉技术

• 批准号: DE180100628
• 负责人: Dr Miaomiao Liu
• 金额: $ 25.69万
• 依托单位: The Australian National University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-04-10 至 2023-07-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE180100628
• 关键词: Machine; vision; techniques; solar; power

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.

该项目旨在推进短期太阳能发电预测的研究，并使用机器视觉技术优化发电过程。该项目将使用相机捕捉天空和定日镜镜面的图像。科学创新是探索用于太阳能预测的几何感知特征表示，并建立定日镜镜面的三维模型，以优化太阳能发电过程。研究成果是一个提高太阳能发电预测精度的工作原型和一个有助于太阳能发电的三维重建系统。这些成果将极大地有利于短期太阳能预测，发电和电网管理系统。