Deep Learning for Cross-Border Electricity Price Forecasting: A Comparative Study
- DOI
- 10.1109/access.2026.3727000
- Published
- 2026
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2026.3727000,
title = {Deep Learning for Cross-Border Electricity Price Forecasting: A Comparative Study},
author = {Hadeer Elashhab and Sai Srijan Papineni and Marvin Dorn and Veit Hagenmeyer and Benjamin Schafer},
year = {2026},
journal = {IEEE Access},
doi = {10.1109/access.2026.3727000},
url = {https://doi.org/10.1109/access.2026.3727000}
}RIS
TY - JOUR TI - Deep Learning for Cross-Border Electricity Price Forecasting: A Comparative Study AU - Hadeer Elashhab AU - Sai Srijan Papineni AU - Marvin Dorn AU - Veit Hagenmeyer AU - Benjamin Schafer PY - 2026 JO - IEEE Access DO - 10.1109/access.2026.3727000 UR - https://doi.org/10.1109/access.2026.3727000 ER -
APA
Elashhab, H., Papineni, S. S., Dorn, M., Hagenmeyer, V., & Schafer, B. (2026). Deep Learning for Cross-Border Electricity Price Forecasting: A Comparative Study. IEEE Access. https://doi.org/10.1109/access.2026.3727000
Source records
- crossref · retrieved 2026-11-05T05:02:48.250Z