Hybrid Model Based on an SD Selection, CEEMDAN, and Deep Learning for Short-Term Load Forecasting of an Electric Vehicle Fleet
- DOI
- 10.3390/app12189288
- Published
- 2022-09-16
- Container
- Applied Sciences
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/app12189288,
title = {Hybrid Model Based on an SD Selection, CEEMDAN, and Deep Learning for Short-Term Load Forecasting of an Electric Vehicle Fleet},
author = {Ahmad Mohsenimanesh and Evgueniy Entchev and Filip Bosnjak},
year = {2022},
journal = {Applied Sciences},
doi = {10.3390/app12189288},
url = {https://doi.org/10.3390/app12189288}
}RIS
TY - JOUR TI - Hybrid Model Based on an SD Selection, CEEMDAN, and Deep Learning for Short-Term Load Forecasting of an Electric Vehicle Fleet AU - Ahmad Mohsenimanesh AU - Evgueniy Entchev AU - Filip Bosnjak PY - 2022 JO - Applied Sciences DO - 10.3390/app12189288 UR - https://doi.org/10.3390/app12189288 ER -
APA
Mohsenimanesh, A., Entchev, E., & Bosnjak, F. (2022). Hybrid Model Based on an SD Selection, CEEMDAN, and Deep Learning for Short-Term Load Forecasting of an Electric Vehicle Fleet. Applied Sciences. https://doi.org/10.3390/app12189288
Source records
- crossref · retrieved 2026-11-04T03:21:51.445Z