Assessment of Deep Learning techniques for Prognosis of solar thermal systems

Author:

Correa-Jullian Camila,Cardemil José Miguel,López Droguett Enrique,Behzad Masoud

Funder

CONICYT/FONDAP

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference50 articles.

1. Technology roadmap: solar heating and cooling;Int. Energy Agency,2012

2. Application of Adaptive Resonance Theory neural networks to monitor solar hot water systems and detect existing or developing faults;He;Sol. Energy,2012

3. Simulation-based long-term fault detection for solar thermal systems;de Keizer;Sol. Energy,2013

4. Data-Driven Technology for Engineering Systems Health Management;Niu,2017

5. A review on the application of deep learning in system health management;Khan;Mech. Syst. Signal Process.,2018

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