Prediction of flat-plate collector performance parameters using artificial neural networks
- 1 March 2006
- journal article
- Published by Elsevier in Solar Energy
- Vol. 80 (3) , 248-259
- https://doi.org/10.1016/j.solener.2005.03.003
Abstract
No abstract availableKeywords
This publication has 8 references indexed in Scilit:
- Smart air-conditioning system using multilayer perceptron neural network with a modular approachPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Artificial neural networks in renewable energy systems applications: a reviewRenewable and Sustainable Energy Reviews, 2001
- Long-term performance prediction of forced circulation solar domestic water heating systems using artificial neural networksApplied Energy, 2000
- Artificial neural networks for the prediction of the energy consumption of a passive solar buildingEnergy, 2000
- Thermosiphon solar domestic water heating systems: long-term performance prediction using artificial neural networksSolar Energy, 2000
- Artificial neural networks used for the performance prediction of a thermosiphon solar water heaterRenewable Energy, 1999
- MODELING OF SOLAR DOMESTIC WATER HEATING SYSTEMS USING ARTIFICIAL NEURAL NETWORKSSolar Energy, 1999
- Artificial neural networks for modelling the starting-up of a solar steam-generatorApplied Energy, 1998