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 …

Application of artificial neural network for predicting performance of solid desiccant cooling systems–A review

DB Jani, M Mishra, PK Sahoo - Renewable and Sustainable Energy …, 2017 - Elsevier
In present study, an attempt has been made to review the applications of artificial neural
network (ANN) for predicting the performance of solid desiccant cooling systems. Different …

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 …

Performance and exhaust emissions of a gasoline engine with ethanol blended gasoline fuels using artificial neural network

G Najafi, B Ghobadian, T Tavakoli, DR Buttsworth… - Applied energy, 2009 - Elsevier
The purpose of this study is to experimentally analyse the performance and the pollutant
emissions of a four-stroke SI engine operating on ethanol–gasoline blends of 0%, 5%, 10 …

Diesel engine performance and exhaust emission analysis using waste cooking biodiesel fuel with an artificial neural network

B Ghobadian, H Rahimi, AM Nikbakht, G Najafi… - Renewable energy, 2009 - Elsevier
This study deals with artificial neural network (ANN) modeling of a diesel engine using
waste cooking biodiesel fuel to predict the brake power, torque, specific fuel consumption …

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 …

Performance and exhaust emissions of a gasoline engine using artificial neural network

C Sayin, HM Ertunc, M Hosoz, I Kilicaslan… - Applied thermal …, 2007 - Elsevier
This study deals with artificial neural network (ANN) modelling of a gasoline engine to
predict the brake specific fuel consumption, brake thermal efficiency, exhaust gas …

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 …

Artificial neural network based prediction of performance and emission characteristics of a variable compression ratio CI engine using WCO as a biodiesel at different …

PS Pai, BRS Rao - Applied Energy, 2011 - Elsevier
Due to the increasing demand for fossil fuels and environmental threat due to pollution a
number renewable sources of energy have been studied worldwide. In the present …

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 …