Optimizing load demand forecasting in educational buildings using quantum-inspired particle swarm optimization (QPSO) with recurrent neural networks (RNNs):a seasonal approach.
- DOI
- 10.1038/s41598-025-04301-z
- Published
- 2025 Jun 3
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-04301-z,
title = {Optimizing load demand forecasting in educational buildings using quantum-inspired particle swarm optimization (QPSO) with recurrent neural networks (RNNs):a seasonal approach.},
author = {Khan S and Mazhar T and Shahzad T and Ali T and Ayaz M and Ghadi YY and Aggoune EM and Hamam H},
year = {2025},
journal = {Scientific reports},
doi = {10.1038/s41598-025-04301-z},
url = {https://doi.org/10.1038/s41598-025-04301-z}
}RIS
TY - JOUR TI - Optimizing load demand forecasting in educational buildings using quantum-inspired particle swarm optimization (QPSO) with recurrent neural networks (RNNs):a seasonal approach. AU - Khan S AU - Mazhar T AU - Shahzad T AU - Ali T AU - Ayaz M AU - Ghadi YY AU - Aggoune EM AU - Hamam H PY - 2025 JO - Scientific reports DO - 10.1038/s41598-025-04301-z UR - https://doi.org/10.1038/s41598-025-04301-z ER -
APA
S, K., T, M., T, S., T, A., M, A., YY, G., EM, A., & H, H. (2025). Optimizing load demand forecasting in educational buildings using quantum-inspired particle swarm optimization (QPSO) with recurrent neural networks (RNNs):a seasonal approach.. Scientific reports. https://doi.org/10.1038/s41598-025-04301-z
Source records
- pubmed · retrieved 2026-09-26T17:39:41.378Z