Data mining methods for parameters forecasting of a small solar plant

Maria Muntean; Adrian Tulbure; Corina Rotar

doi:10.1117/12.2245896

14 December 2016 Data mining methods for parameters forecasting of a small solar plant

Maria Muntean, Adrian Tulbure, Corina Rotar

Proceedings Volume 10010, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies VIII; 100101A (2016) https://doi.org/10.1117/12.2245896
Event: Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies 2016, 2016, Constanta, Romania

Abstract

This paper investigates the relation between the intensity of solar radiation correlated with ambient temperature and energy production, at local scale and area, using a forecasting algorithm. In the first step, using the experimental collected data, the authors have developed a suitable model to study the analyzed phenomena. The model can be applied for forecasts in the energy sector, very useful especially because UAT (territorial administrative unit) of Alba Iulia has a 275kW functional photovoltaic park.

Citation Download Citation

Maria Muntean, Adrian Tulbure, and Corina Rotar "Data mining methods for parameters forecasting of a small solar plant", Proc. SPIE 10010, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies VIII, 100101A (14 December 2016); https://doi.org/10.1117/12.2245896

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