Application of Artificial Neural Network in Solar Energy

Peter Lund, Bin DU*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

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Abstract

Accurate prediction of system performance is very important for the optimal planning of solar energy systems. The latest research of artificial neural network (ANN) technology for predicting the efficiency of solar thermal systems and the performance of photovoltaic system is reported here. Application of ANN to performance assessment of solar collectors is briefly reviewed including novel all-glass straight-through evacuated tube collectors. An overview of the most recent work of ANN for combined photovoltaic/thermal panels (PV/T) and concentrating photovoltaic collectors is also provided.
Original languageEnglish
Title of host publicationArtificial Neural Networks - Recent Advances, New Perspectives and Applications
PublisherInTech Open
Chapter17
Pages1-17
Number of pages17
ISBN (Electronic)978-1-83768-223-2
ISBN (Print)978-1-83768-222-5
DOIs
Publication statusPublished - 25 Jan 2023
MoE publication typeA3 Book section, Chapters in research books

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