A Deep Learning Method for Photovoltaic Power Generation Forecasting Based on a Time-Series Dense Encoder

Xingfa Zi, Feiyi Liu, Mingyang Liu, Yang Wang

Open source

DOI
10.3390/en18102434
Published
2025-05-09
Container
Energies
Publisher
MDPI AG
Open access
unknown

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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

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