Journal ArticleDOI
Artificial neural networks for modelling the starting-up of a solar steam-generator
TLDR
In this article, an experimental solar steam generator, consisting of a parabolic trough collector, a high-pressure steam circuit, and a suitable flash vessel has been constructed and tested in order to establish the thermodynamic performance during heat-up.About:
This article is published in Applied Energy.The article was published on 1998-06-01. It has received 69 citations till now. The article focuses on the topics: Parabolic trough & Boiler (power generation).read more
Citations
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Journal ArticleDOI
Artificial neural networks for the prediction of the energy consumption of a passive solar building
TL;DR: In this paper, a multilayer recurrent architecture using the standard back-propagation learning algorithm has been applied to predict the energy consumption of a passive solar building for two seasons: winter and summer.
Journal ArticleDOI
Modeling of solar energy systems using artificial neural network: A comprehensive review
Ammar H. Elsheikh,Ammar H. Elsheikh,Swellam W. Sharshir,Mohamed Abd Elaziz,Mohamed Abd Elaziz,Abd Elnaby Kabeel,Wang Guilan,Zhang Haiou +7 more
TL;DR: An attempt has been made to scrutinize the applications of artificial neural network (ANN) as an intelligent system-based method for optimizing and the prediction of different solar energy devices’ performance.
Journal ArticleDOI
Modelling of solar energy potential in Nigeria using an artificial neural network model
TL;DR: In this article, an artificial neural network (ANN) based model for prediction of solar energy potential in Nigeria (lat. 4-14°N, log. 2-15°E) was developed.
Journal ArticleDOI
Forecasting based on neural network approach of solar potential in Turkey
TL;DR: In this paper, the authors put forward to solar energy potential in Turkey using artificial neural networks (ANNs) for evaluating solar resource posibilities in regions where a network of monitoring stations have not been established in Turkey.
Journal ArticleDOI
Application of ANN technique to predict the performance of solar collector systems - A review
TL;DR: The Published research works presented in this paper, show that the ANN technique is very appropriate tool to predict the performance of solar collector systems.
References
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Book ChapterDOI
Learning internal representations by error propagation
TL;DR: This chapter contains sections titled: The Problem, The Generalized Delta Rule, Simulation Results, Some Further Generalizations, Conclusion.
MonographDOI
Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Foundations
Book
Learning internal representations by error propagation
TL;DR: In this paper, the problem of the generalized delta rule is discussed and the Generalized Delta Rule is applied to the simulation results of simulation results in terms of the generalized delta rule.