A novel hybrid optimization and machine learning technique to energy storage in smart buildings using phase change materials
- DOI
- 10.60692/djsvk-3h615
- Published
- 2024
- Container
- Not recorded
- Publisher
- OpenAlex
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.60692/djsvk-3h615,
title = {A novel hybrid optimization and machine learning technique to energy storage in smart buildings using phase change materials},
author = {R T Mikhailovna and M.N. Nasrabadi and S. S. Abdullaev and Yaghoub Pourasad and Aníbal Alviz-Meza and Natei Ermias Benti},
year = {2024},
doi = {10.60692/djsvk-3h615},
url = {https://doi.org/10.60692/djsvk-3h615}
}RIS
TY - JOUR TI - A novel hybrid optimization and machine learning technique to energy storage in smart buildings using phase change materials AU - R T Mikhailovna AU - M.N. Nasrabadi AU - S. S. Abdullaev AU - Yaghoub Pourasad AU - Aníbal Alviz-Meza AU - Natei Ermias Benti PY - 2024 DO - 10.60692/djsvk-3h615 UR - https://doi.org/10.60692/djsvk-3h615 ER -
APA
Mikhailovna, R. T., Nasrabadi, M., Abdullaev, S. S., Pourasad, Y., Alviz-Meza, A., & Benti, N. E. (2024). A novel hybrid optimization and machine learning technique to energy storage in smart buildings using phase change materials. https://doi.org/10.60692/djsvk-3h615