Predictive model of sunlight based on Artificial Intelligence for the optimization of electric power generation
Christian Ovalle Paulino,
Luis Rojas Nieves,
Hugo Villaverde Medrano
Abstract:Due to the continuous depletion of resources and the increased social awareness of environmental problems, there is currently a constant need for energy, which has led researchers to seek new technologies to optimize the production of electrical energy. The present investigation has the type of applied investigation, it has a predictive level, its design is experimental and with a quantitative approach. The CRISP-DM data mining methodology was used, which is considered the de facto methodology for projects ded… Show more
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