Deep learning-based prediction method on performance change of air source heat pump system under frosting conditions
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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].”
From Enhancing heat-exchanger performance in frost conditions via superhydrophobic surface modification (2024) · cites this paper as [44]
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.”
From Enhancing heat-exchanger performance in frost conditions via superhydrophobic surface modification (2024) · cites this paper as [44]
Cites
A new convolutional neural network-based data-driven fault diagnosis method
Wen, L., Li, X., Gao, L., & Zhang, Y. (2018) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2774777 · Cited by 2,222 · see citing works
What is the best multi-stage architecture for object recognition?
Jarrett, K., Kavukcuoglu, K., Ranzato, M. A., & LeCun, Y. (2009) · 2009 IEEE 12th International Conference on Computer Vision · doi:10.1109/iccv.2009.5459469 · Cited by 2,153 · see citing works
Review on improvement for air source heat pump units during frosting and defrosting
Song, M., Deng, S., Dang, C., Mao, N., & Wang, Z. (2018) · Applied Energy · doi:10.1016/j.apenergy.2017.12.022 · Cited by 384 · see citing works
A one-dimensional model for frost formation on a cold flat surface
Lee, K.-S., Kim, W.-S., & Lee, T.-H. (1997) · International Journal of Heat and Mass Transfer · doi:10.1016/s0017-9310(97)00074-4 · Cited by 296 · see citing works
A generalized simple model for predicting frost growth on cold flat plate
Wang, W., Guo, Q. C., Lu, W. P., Feng, Y. C., & Na, W. (2012) · International Journal of Refrigeration · doi:10.1016/j.ijrefrig.2011.10.011 · Cited by 89 · see citing works
Chung, Y., Yoo, J. W., Kim, G. T., & Kim, M. S. (2019) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2018.10.085 · Cited by 81 · see citing works
Self-citationGe, Y., Sun, Y., Wang, W., Zhu, J., Li, L., & Liu, J. (2016) · International Journal of Refrigeration · doi:10.1016/j.ijrefrig.2015.07.004 · Cited by 68 · see citing works
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Ma, L., Sun, Y., Wang, F., Wang, M., Zhang, S., & Wang, Z. (2025) · Applied Energy · doi:10.1016/j.apenergy.2024.124358 · Cited by 54 · see citing works
Enhancing heat-exchanger performance in frost conditions via superhydrophobic surface modification
He, H., Zhou, X., Lyu, N., Wang, F., Liang, C., & Zhang, X. (2024) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2024.122914 · Cited by 19 · see citing works
- 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
- Licence
- 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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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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