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Predicting PV Areas on Aerial Images with Deep Learning

Zech, Matthias and Ranalli, Joseph (2020) Predicting PV Areas on Aerial Images with Deep Learning. In: 47th IEEE Photovoltaic Specialists Conference, PVSC 2020. 47th IEEE Photovoltaic Specialists Conference (PVSC 47), 2020-06-15 - 2020-08-21, Virtual meeting. ISBN 978-172816115-0. ISSN 0160-8371.

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Item URL in elib:https://elib.dlr.de/148270/
Document Type:Conference or Workshop Item (Speech, Poster)
Title:Predicting PV Areas on Aerial Images with Deep Learning
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Zech, MatthiasUNSPECIFIEDhttps://orcid.org/0000-0003-4420-5238UNSPECIFIED
Ranalli, JosephUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:9 June 2020
Journal or Publication Title:47th IEEE Photovoltaic Specialists Conference, PVSC 2020
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
ISSN:0160-8371
ISBN:978-172816115-0
Status:Published
Keywords:Fully Convolutional Neural Network, model uncertainty, PV identification, Deep Learning
Event Title:47th IEEE Photovoltaic Specialists Conference (PVSC 47)
Event Location:Virtual meeting
Event Type:international Conference
Event Start Date:15 June 2020
Event End Date:21 August 2020
HGF - Research field:Energy
HGF - Program:Technology, Innovation and Society
HGF - Program Themes:Renewable Energy and Material Resources for Sustainable Futures - Integrating at Different Scales
DLR - Research area:Energy
DLR - Program:E SY - Energy Systems Analysis
DLR - Research theme (Project):E - Energy Systems Technology (old)
Location: Oldenburg
Institutes and Institutions:Institute of Networked Energy Systems > Energy Systems Analysis
Deposited By: Zech, Matthias
Deposited On:14 Jan 2022 09:25
Last Modified:24 Apr 2024 20:46

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