A Deep Learning Method for Photovoltaic Power Generation Forecasting Based on a Time-Series Dense Encoder
- DOI
- 10.3390/en18102434
- Published
- 2025-05-09
- Container
- Energies
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/en18102434,
title = {A Deep Learning Method for Photovoltaic Power Generation Forecasting Based on a Time-Series Dense Encoder},
author = {Xingfa Zi and Feiyi Liu and Mingyang Liu and Yang Wang},
year = {2025},
journal = {Energies},
doi = {10.3390/en18102434},
url = {https://doi.org/10.3390/en18102434}
}RIS
TY - JOUR TI - A Deep Learning Method for Photovoltaic Power Generation Forecasting Based on a Time-Series Dense Encoder AU - Xingfa Zi AU - Feiyi Liu AU - Mingyang Liu AU - Yang Wang PY - 2025 JO - Energies DO - 10.3390/en18102434 UR - https://doi.org/10.3390/en18102434 ER -
APA
Zi, X., Liu, F., Liu, M., & Wang, Y. (2025). A Deep Learning Method for Photovoltaic Power Generation Forecasting Based on a Time-Series Dense Encoder. Energies. https://doi.org/10.3390/en18102434
Source records
- crossref · retrieved 2026-09-24T18:52:29.701Z