Design of high-performance water-in-glass evacuated tube solar water heaters by a high-throughput screening based on machine learning: A combined modeling and experimental study

Title
Design of high-performance water-in-glass evacuated tube solar water heaters by a high-throughput screening based on machine learning: A combined modeling and experimental study
Authors
Keywords
Water-in-glass evacuated tube solar water heater (WGET-SWH), Heat collection rate, High-throughput screening (HTS), Artificial neural networks (ANNs)
Journal
SOLAR ENERGY
Volume 142, Issue -, Pages 61-67
Publisher
Elsevier BV
Online
2016-12-21
DOI
10.1016/j.solener.2016.12.015

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started