Solar PV output prediction from video streams using convolutional neural networks-Reference-Cited by-同舟云学术

Solar PV output prediction from video streams using convolutional neural networks

Published:2018 Issue:7 Volume:11 Page:1811-1818
ISSN:1754-5692
Container-title:Energy & Environmental Science
language:en
Short-container-title:Energy Environ. Sci.

Author:

Sun Yuchi¹²³^ORCID,Szűcs Gergely⁴²³,Brandt Adam R.¹²³^ORCID

Affiliation:

1. Department of Energy Resources Engineering

2. Stanford University

3. USA

4. Department of Mathematics

Abstract

To forecast solar power's short-term fluctuation stemming from changes in cloud coverage, a convolutional neural networks (CNN) is used to correlate PV output to contemporaneous sky images.

Funder

Stanford University

Publisher

Royal Society of Chemistry (RSC)

Subject

Pollution,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment,Environmental Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2018/EE/C7EE03420B

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