Application of Artificial Neural Network in Solar Energy

Lund, Peter; DU, Bin

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Application of Artificial Neural Network in Solar Energy

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Title:	Application of Artificial Neural Network in Solar Energy
Author(s):	Lund, Peter ; DU, Bin
Date:	2023-01-25
Language:	en
Pages:	17 1-17
Department:	New Energy Technologies Southeast University - China Department of Applied Physics
ISBN:	978-1-83768-222-5 978-1-83768-223-2
Series:	Artificial Neural Networks - Recent Advances, New Perspectives and Applications
DOI-number:	10.5772/intechopen.106977
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Citation: Lund , P & DU , B 2023 , Application of Artificial Neural Network in Solar Energy . in Artificial Neural Networks - Recent Advances, New Perspectives and Applications . InTech Open , pp. 1-17 . https://doi.org/10.5772/intechopen.106977
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.

Permanent link to this item: http://urn.fi/URN:NBN:fi:aalto-202302011911 Email this Export to RefWorks QR Code Print BibTex Tweet