Application of a multiple linear regression and an artificial neural network model for the heating performance analysis and hourly prediction of a large-scale ground source heat pump system-Reference-Cited by-同舟云学术

Application of a multiple linear regression and an artificial neural network model for the heating performance analysis and hourly prediction of a large-scale ground source heat pump system

Published:2018-04 Issue: Volume:165 Page:206-215
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Park Sang Ku,Moon Hyeun Jun,Min Kyung Chon,Hwang Changha,Kim Suduk

Funder

Korea Institute of Energy Technology Evaluation and Planning

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference30 articles.

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4. Cooling performance of cooling tower-assisted ground-coupled heat pump (GCHP) system applied in hospital building;Min;Trans. Korea Soc. Geotherm. Energy Eng.,2016

5. Applied Data Analysis Modeling for Energy Engineers and Scientists;Reddy,2011

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