14 December 2016 Data mining methods for parameters forecasting of a small solar plant
Author Affiliations +
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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maria Muntean, Adrian Tulbure, 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); doi: 10.1117/12.2245896; https://doi.org/10.1117/12.2245896
PROCEEDINGS
6 PAGES


SHARE
Back to Top