论文标题
比较低资源太阳能现象的碳成本和收益
Comparing the carbon costs and benefits of low-resource solar nowcasting
论文作者
论文摘要
太阳能光伏收益型现象用于帮助预测需要的峰值和槽以支持电网集成。本文使用英国卫星图像的数据集和1到4小时的时间范围内使用了多种低资源方法来进行太阳能光伏收益。该论文还估计了通过部署模型产生和避免产生和避免的碳排放，并且发现即使可以在低资源设置中可以部署的小型模型也可能受益几个数量级，比其碳成本大。本文还检查了预测错误和CNN中的激活。
Solar PV yield nowcasting is used to help anticipate peaks and troughs in demand to support grid integration. This paper compares multiple low-resource approaches to nowcasting solar PV yield, using a dataset of UK satellite imagery and solar PV energy readings over a 1 to 4-hour time range. The paper also estimates the carbon emissions generated and averted by deploying models, and finds that even small models that could be deployable in low-resource settings may have a benefit several orders of magnitude greater than its carbon cost. The paper also examines prediction errors and the activations in a CNN.
