Resumen

RAMIREZ-MURILLO, Harrynson; TORRES-PINZON, Carlos A.  y  FORERO-GARCIA, Edwin F.. Photovoltaic Potential Estimation by Means of Data Mining in Four Colombian Cities. TecnoL. [online]. 2019, vol.22, n.46, pp.65-85. ISSN 0123-7799.  https://doi.org/10.22430/22565337.1345.

This work analyzes the photovoltaic potential of four cities in Colombia-Bogotá, Cúcuta, Manizales, and Pasto-using information collected in situ and data mining strategies. The methodology of this study is based on clustering techniques implemented in MATLAB® software. Two comparison algorithms are presented: K-means, Fuzzy C-means, and an additional visualization algorithm, i.e., Principal Component Analysis (PCA), which supports results analysis. This article explores published studies regarding data mining and it describes the previously mentioned algorithms. On the other hand, the most relevant results and discussion, which are related to the feasibility of implementation of micro-grids, are determined by calculating the Capacity Factor.

Palabras clave : Clustering; Plant Factor; Micro-grids; Data Mining; Photovoltaic Potential.

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