Development of a failure detection tool using machine learning techniques for a large aperture concentrating collector at an industrial application in Chile-Reference-Cited by-同舟云学术

Development of a failure detection tool using machine learning techniques for a large aperture concentrating collector at an industrial application in Chile

Published:2019 Issue: Volume: Page:
ISSN:0094-243X
Container-title:SOLARPACES 2018: International Conference on Concentrating Solar Power and Chemical Energy Systems
language:
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Author:

Muñoz Iván,Cortés Felipe,Crespo Alicia,Ibarra Mercedes

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5117678

Reference9 articles.

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2. REN21. 2018. Renewables 2018 Global Status Report (Paris: REN21 Secretariat). ISBN 978-3-9818911-3-3.

3. Estimating the potential for solar energy utilization in Chile by satellite-derived data and ground station measurements

4. Strategic Research Priorities for Solar Thermal Technology. (2012). Strategic Research Priorities for Solar Thermal Technology. Bélgica: European Solar Thermal Technology Panel (ESTTP).

5. Dirk Pietruschka. (2015). Report for self-detection on monitoring procedure. Germany: Solar Heating & Cooling: Task 48.

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