Exergy analyses of low-temperature district heating systems with different sanitary hot-water boosters

The paper Exergy analyses of low-temperature district heating systems with different sanitary hot-water boosters was published in Entropy Journal. Abstract: This paper presents an exergy-efficiency analysis of low-temperature district heating systems (DHSs) with different sanitary hot-water (SHW) boosters. The main objective of this study was to compare the exergy efficiencies Read more…

Neural network, ARX, and extreme learning machine models for the short-term prediction of temperature in buildings

The research article co-authored by members of LAHDE laboratory entitled Neural network, ARX, and extreme learning machine models for the short-term prediction of temperature in buildings was published in Building Systems and Components journal in April 2019.   Abstract In this paper, the possibilities of developing machine learning based data-driven Read more…

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