Cited by 81Refrigeration and Air Conditioning TechnologiesBuilding Energy and Comfort OptimizationAdsorption and Cooling Systems

Deep learning-based prediction method on performance change of air source heat pump system under frosting conditions

Eom, Yong Hwan, Chung, Yoong, Park, Minsu, Hong, Sung Bin, Kim, Min Soo·2021·Energy

Integrity signals

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Crossref · 10.1016/j.energy.2021.120542

Cites

8 of 8 references verified0 citation errors · 0 not checkable

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  • Time-based defrosting methods often result in erroneous or untimely defrosting, leading to deteriorated system performance.

    “Time-based defrosting methods often result in erroneous or untimely defrosting, leading to deteriorated system performance [43 -46].”
  • Compared to the research conducted by scholars [35,40-44,46,87,88], this approach considers the overall improvement of the frosting and defrosting process for the ASHP, effectively combining proactive defrosting with efficient defrosting.

    “Compared to the research conducted by scholars [35,40 -44,46,87,88], this approach considers the overall improvement of the frosting and defrosting process for the ASHP, effectively combining proactive defrosting with efficient defrosting.”

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Authors
Eom, Y. H., Chung, Y., Park, M., Hong, S. B., & Kim, M. S.
Affiliations
Seoul National University (KR)
Corresponding author
Kim, Min Soo
Venue
Energy
Publisher
Elsevier BV
Published
2021-08
Volume
228
Pages
120542
ISSN
0360-5442 (ISSN-L)
OpenAlex
W3151786474
Cited by
81
References
8
Citations by year
2026: 15 · 2025: 23 · 2024: 22 · 2023: 13 · 2022: 6 · 2021: 2
FWCI
4.60
Type
journal article
Language
en
Open access
closed
Locations
  • Energy (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Refrigeration and Air Conditioning Technologies
  • Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
  • Physical Sciences › Engineering › Mechanical Engineering › Adsorption and Cooling Systems
Keywords
air-source heat pump, frost growth, performance prediction, heating capacity, power consumption, coefficient of performance, multi-output regression, deep neural network, convolutional neural networks, long short-term memory, outdoor heat exchanger

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