USE OF ONLINE FORECAST SYSTEMS FOR DETERMINING THE PRODUCTIVITY OF PHOTOVOLTAICS PLANTS

Authors

DOI:

https://doi.org/10.30888/2709-2267.2024-22-00-009

Keywords:

photovoltaic station, monitoring, forecasting, power, energy production.

Abstract

The functional features of monitoring systems and online forecasting of photovoltaic stations performance are compared. Strategies and technologies for optimizing the performance of photovoltaic stations are listed. A free Solcast platform was used to pre

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References

PV Guard. URL: https://cms.pv-guard.com/en/homepage/

WetterRadar & Warnungen. Wetter Online Meteorologische Dienstleistungen GmbH. Retriewed from: https://www.weatherandradar.com/apps/

Solcast, Global solar irradiance data and PV system power output data. URL https://solcast.com/.

Yaroslav Batsala, Ivan Hlad, Iryna Yaremak. Forecasting day-ahead of power generation from photovoltaic stations and use weather apps. „Journal of New Technologies in Environmental Science”. №4. 2021. Pp..143-149. Doi: 10.53412/jntes-2021-4-3

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Published

2024-01-30

How to Cite

Batsala, Y., Zhyvchyn, P., Shnurok, I., & Fedenko, V. (2024). USE OF ONLINE FORECAST SYSTEMS FOR DETERMINING THE PRODUCTIVITY OF PHOTOVOLTAICS PLANTS. Sworld-Us Conference Proceedings, 1(usc22-01), 11–14. https://doi.org/10.30888/2709-2267.2024-22-00-009

Issue

No. usc22-01 (2024): Modern systems of science and education in the USA, EU and other countries '2024

Section

Abstracts

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Copyright (c) 2024 Authors

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This work is licensed under a Creative Commons Attribution 4.0 International License.