Clustering of solar energy facilities using a hybrid fuzzy c-means algorithm initialized by metaheuristics

Abandoned areas with substances potentially harmful to the environment or human health have raised numerous concerns around the world. The objective of the present study is to analyze the possibility of building solar power plants capable of capturing solar energy in unproductive areas, both contami...

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Bibliographic Details
Published in:	Journal of cleaner production Vol. 191; pp. 445 - 457
Main Authors:	Franco, David Gabriel de Barros, Steiner, Maria Teresinha Arns
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.08.2018
Subjects:	algorithms data collection Differential evolution Fuzzy c-means clustering Genetic algorithm human health light intensity meteorological data Particle swarm optimization power lines power plants Soil reuse Solar energy solar radiation United States Environmental Protection Agency Differential evolution Soil reuse Fuzzy c-means clustering Genetic algorithm Particle swarm optimization Solar energy
ISSN:	0959-6526, 1879-1786
Online Access:	Get full text
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