Using Machine Learning to estimate the technical potential of shallow ground-source heat pumps with thermal interference

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	012010
Journal	Journal of Physics: Conference Series
Volume	2042
DOIs	https://doi.org/10.1088/1742-6596/2042/1/012010
Publication status	Published - 10 Sept 2021

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title = "Using Machine Learning to estimate the technical potential of shallow ground-source heat pumps with thermal interference",

author = "Alina Walch and Roberto Castello and Nahid Mohajeri and Agust Gudmundsson and Jean-Louis Scartezzini",

year = "2021",

month = sep,

day = "10",

doi = "10.1088/1742-6596/2042/1/012010",

language = "English",

volume = "2042",

journal = "Journal of Physics: Conference Series",

issn = "1742-6588",

publisher = "IOP Publishing Ltd.",

}

TY - JOUR

T1 - Using Machine Learning to estimate the technical potential of shallow ground-source heat pumps with thermal interference

AU - Walch, Alina

AU - Castello, Roberto

AU - Mohajeri, Nahid

AU - Gudmundsson, Agust

AU - Scartezzini, Jean-Louis

PY - 2021/9/10

Y1 - 2021/9/10

U2 - 10.1088/1742-6596/2042/1/012010

DO - 10.1088/1742-6596/2042/1/012010

M3 - Article

SN - 1742-6588

VL - 2042

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

M1 - 012010

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