Hourly Photovoltaic Power Generation Forecasting Using Exponential Smoothing: A Comparative Study Based on Operational Data

Dmytro Matushkin, Artur Zaporozhets, Vitalii Babak, Mykhailo Kulyk, Viktor Denysov

Open source

DOI
10.20944/preprints202508.0603.v1
Published
2025-08-08
Container
Not recorded
Publisher
MDPI AG
Open access
unknown

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BibTeX

@article{allodium:10.20944/preprints202508.0603.v1,
  title = {Hourly Photovoltaic Power Generation Forecasting Using Exponential Smoothing: A Comparative Study Based on Operational Data},
  author = {Dmytro Matushkin and Artur Zaporozhets and Vitalii Babak and Mykhailo Kulyk and Viktor Denysov},
  year = {2025},
  doi = {10.20944/preprints202508.0603.v1},
  url = {https://doi.org/10.20944/preprints202508.0603.v1}
}

RIS

TY  - JOUR
TI  - Hourly Photovoltaic Power Generation Forecasting Using Exponential Smoothing: A Comparative Study Based on Operational Data
AU  - Dmytro Matushkin
AU  - Artur Zaporozhets
AU  - Vitalii Babak
AU  - Mykhailo Kulyk
AU  - Viktor Denysov
PY  - 2025
DO  - 10.20944/preprints202508.0603.v1
UR  - https://doi.org/10.20944/preprints202508.0603.v1
ER  - 

APA

Matushkin, D., Zaporozhets, A., Babak, V., Kulyk, M., & Denysov, V. (2025). Hourly Photovoltaic Power Generation Forecasting Using Exponential Smoothing: A Comparative Study Based on Operational Data. https://doi.org/10.20944/preprints202508.0603.v1

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