Photovoltaic Potential Estimation by Means of Data Mining in Four Colombian Cities
Journal Title: TecnoLógicas - Year 2019, Vol 22, Issue 46
Abstract
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.
Authors and Affiliations
Harrynson Ramírez-Murillo, Carlos A. Torres-Pinzón, Edwin F. Forero-García
Keywords
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