Application of ANN technique to predict the performance of solar collector systems-A review

HK Ghritlahre, RK Prasad - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
The solar collector is the heart of any solar energy collection system designed for operation
in the low to medium temperature ranges. So, an efficient design of solar collector system …

Applications of artificial neural networks for refrigeration, air-conditioning and heat pump systems—A review

M Mohanraj, S Jayaraj, C Muraleedharan - Renewable and sustainable …, 2012 - Elsevier
In this paper, an attempt has been made to review the applications of artificial neural
networks (ANN) for energy and exergy analysis of refrigeration, air conditioning and heat …

Modelling and experimental performance analysis of solar-assisted ground source heat pump system

H Esen, M Esen, O Ozsolak - Journal of Experimental & Theoretical …, 2017 - Taylor & Francis
In this study, slinky (the slinky-loop configuration is also known as the coiled loop or spiral
loop of flexible plastic pipe) type ground heat exchanger (GHE) was established for a solar …

A chronological review of advances in solar assisted heat pump technology in 21st century

A Badiei, YG Akhlaghi, X Zhao, S Shittu, X Xiao… - … and Sustainable Energy …, 2020 - Elsevier
This paper presents a comprehensive review on developments and advances of Solar
Assisted Heat Pump technology reported in 21st century. Combination of thermal and …

Performance prediction of a ground-coupled heat pump system using artificial neural networks

H Esen, M Inalli, A Sengur, M Esen - Expert Systems with Applications, 2008 - Elsevier
This paper describes the applicability of artificial neural networks (ANNs) to predict
performance of a horizontal ground-coupled heat pump (GCHP) system. Performance …

Artificial neural networks and adaptive neuro-fuzzy assessments for ground-coupled heat pump system

H Esen, M Inalli, A Sengur, M Esen - Energy and Buildings, 2008 - Elsevier
This article present a comparison of artificial neural network (ANN) and adaptive neuro-fuzzy
inference systems (ANFIS) applied for modelling a ground-coupled heat pump system …

Forecasting of a ground-coupled heat pump performance using neural networks with statistical data weighting pre-processing

H Esen, M Inalli, A Sengur, M Esen - International Journal of Thermal …, 2008 - Elsevier
The objective of this work is to improve the performance of an artificial neural network (ANN)
with a statistical weighted pre-processing (SWP) method to learn to predict ground source …

Modeling a ground-coupled heat pump system by a support vector machine

H Esen, M Inalli, A Sengur, M Esen - Renewable Energy, 2008 - Elsevier
This paper reports on a modeling study of ground coupled heat pump (GCHP) system
performance (COP) by using a support vector machine (SVM) method. A GCHP system is a …

Prediction of heat transfer coefficient during condensation of R134a in inclined tubes using artificial neural network

S Azizi, E Ahmadloo - Applied Thermal Engineering, 2016 - Elsevier
An artificial neural network model was developed to predict convective heat transfer
coefficient (HTC) during condensation of R134a in an inclined smooth tube for the entire …

Artificial neural network analysis of a refrigeration system with an evaporative condenser

HM Ertunc, M Hosoz - Applied Thermal Engineering, 2006 - Elsevier
This paper describes an application of artificial neural networks (ANNs) to predict the
performance of a refrigeration system with an evaporative condenser. In order to gather data …