A solar radiation forecast platform spanning over the edge-cloud continuum

Frincu, M ORCID: https://orcid.org/0000-0003-1034-8409, Penteliuc, M and Spataru, A, 2022. A solar radiation forecast platform spanning over the edge-cloud continuum. Electronics, 11 (17): 2756. ISSN 2079-9292

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Abstract

The prediction of PV output represents an important task for PV farm operators as it enables them to forecast the energy they will produce and sell on the energy market. Existing approaches rely on a combination of satellite/all-sky images and numerical methods which for high spatial resolutions require considerable processing time and resources. In this paper, we propose a hybrid egde–cloud platform that leverages the performance of edge devices to perform time-critical computations locally, while delegating the rest to the remote cloud infrastructure. The proposed platform relies on novel metaheuristics algorithms for cloud dynamics detection and proposes to forecast irradiance by analyzing pixel values taken with various filters/bands. The results demonstrate the scalability improvement when using GPU-enabled devices and the potential of using pixel information instead of cloud types to infer irradiance.

Item Type:	Journal article
Publication Title:	Electronics
Creators:	Frincu, M., Penteliuc, M. and Spataru, A.
Publisher:	MDPI
Date:	1 September 2022
Volume:	11
Number:	17
ISSN:	2079-9292
Identifiers:	Number Type 10.3390/electronics11172756 DOI 1597965 Other
Rights:	© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
Divisions:	Schools > School of Science and Technology
Record created by:	Jonathan Gallacher
Date Added:	20 Sep 2022 09:24
Last Modified:	20 Sep 2022 09:24
URI:	https://irep.ntu.ac.uk/id/eprint/47050

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