Analysis of energy and control efficiencies of fuzzy logic and artificial neural network technologies in the heating energy supply system responding to the changes of user demands

Jonghoon Ahn, Soolyeon Cho and Dae Hun Chung

Applied Energy, 2017, vol. 190, issue C, 222-231

Abstract: This paper presents hybrid control approaches for heating air supply in response to changes in demand by using the Fuzzy Inference System (FIS) and Artificial Neural Network (ANN) fitting models.

Keywords: Energy efficiency; Control accuracy; User thermal demand changes; Fuzzy inference system; Artificial neural network (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (17)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:190:y:2017:i:c:p:222-231

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DOI: 10.1016/j.apenergy.2016.12.155

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