Implementation of artificial intelligence for prediction performance of solar thermal system
A related input parameter is used in this case study to forecast solar thermal systems (STS) capabilities and to compare which artificial neural network (ANN) algorithms and other artificial intelligence (AI) methods have the most reliable predictor for STS performance. In order to gauge the perform...
| Published in: | International Journal of Power Electronics and Drive Systems |
|---|---|
| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2022
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134969116&doi=10.11591%2fijpeds.v13.i3.pp1751-1760&partnerID=40&md5=301f84d4d46890981609cea4580e7347 |