Dixon, Ben;
Pérez-Ortiz, María;
Bieker, Jacob;
(2022)
Comparing the carbon costs and benefits of low-resource solar nowcasting.
arXiv: Ithaca, NY, USA.
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Abstract
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.
Type: | Working / discussion paper |
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Title: | Comparing the carbon costs and benefits of low-resource solar nowcasting |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.48550/arXiv.2210.04554 |
Publisher version: | http://arxiv.org/abs/2210.04554v1 |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | cs.LG, cs.LG, cs.CV |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10160357 |




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