Parking Availability Prediction Using Deep Learning Approaches: Temporal Convolutional Networks (TCN) and TimesNet
- DOI
- 10.1007/978-3-032-20840-8_18
- Published
- 2026
- Container
- Footprints of Regional Science
- Publisher
- Springer Nature Switzerland
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-032-20840-8_18,
title = {Parking Availability Prediction Using Deep Learning Approaches: Temporal Convolutional Networks (TCN) and TimesNet},
author = {Hana Gharrad and Satria Bagus Wicaksono and Ansar Yasar and Iñaki Cejudo Fresnadillo and Josep Maria Salanova Grau and Evdokimos Konstantinidis},
year = {2026},
journal = {Footprints of Regional Science},
doi = {10.1007/978-3-032-20840-8_18},
url = {https://doi.org/10.1007/978-3-032-20840-8_18}
}RIS
TY - JOUR TI - Parking Availability Prediction Using Deep Learning Approaches: Temporal Convolutional Networks (TCN) and TimesNet AU - Hana Gharrad AU - Satria Bagus Wicaksono AU - Ansar Yasar AU - Iñaki Cejudo Fresnadillo AU - Josep Maria Salanova Grau AU - Evdokimos Konstantinidis PY - 2026 JO - Footprints of Regional Science DO - 10.1007/978-3-032-20840-8_18 UR - https://doi.org/10.1007/978-3-032-20840-8_18 ER -
APA
Gharrad, H., Wicaksono, S. B., Yasar, A., Fresnadillo, I. C., Grau, J. M. S., & Konstantinidis, E. (2026). Parking Availability Prediction Using Deep Learning Approaches: Temporal Convolutional Networks (TCN) and TimesNet. Footprints of Regional Science. https://doi.org/10.1007/978-3-032-20840-8_18
Source records
- crossref · retrieved 2026-09-25T17:53:02.437Z