An Artificial Neural Network-Based Approach to Optimizing Energy Efficiency in Residential Buildings in Hot Summer and Cold Winter Regions.

Gao M.

DOI: 10.1155/2022/2611695
Published: 2022-08-25
Container: Comput Intell Neurosci
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2022/2611695,
  title = {An Artificial Neural Network-Based Approach to Optimizing Energy Efficiency in Residential Buildings in Hot Summer and Cold Winter Regions.},
  author = {Gao M.},
  year = {2022},
  journal = {Comput Intell Neurosci},
  doi = {10.1155/2022/2611695},
  url = {https://doi.org/10.1155/2022/2611695}
}

RIS

TY  - JOUR
TI  - An Artificial Neural Network-Based Approach to Optimizing Energy Efficiency in Residential Buildings in Hot Summer and Cold Winter Regions.
AU  - Gao M.
PY  - 2022
JO  - Comput Intell Neurosci
DO  - 10.1155/2022/2611695
UR  - https://doi.org/10.1155/2022/2611695
ER  -

APA

M., G. (2022). An Artificial Neural Network-Based Approach to Optimizing Energy Efficiency in Residential Buildings in Hot Summer and Cold Winter Regions.. Comput Intell Neurosci. https://doi.org/10.1155/2022/2611695

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europe-pmc · retrieved 2026-09-25T16:43:42.202Z