Optimization of Wind Energy Planning Through Data Analysis

Abstract

Objective: This article presents the implementation of a model for wind energy production planning, based on the hybridization of two components: one focused on data analysis for wind speed prediction, and the other on the optimization of energy production. Method: A hybrid strategy was methodologically structured to enable the effective and practical application of data analysis and optimization techniques across various planning scenarios. Results: The proposed model was evaluated in wind energy planning processes across 13 stations in the metropolitan area of Monterrey, Mexico. Three different budget scenarios were considered to determine optimized calculations of the types and quantities of wind turbines to be installed in specific areas. Conclusions: The proposed hybrid approach leverages advanced data analysis and optimization techniques within a unified framework to enhance wind energy planning. The results achieve energy generation capacities comparable to large-scale wind farms worldwide, positioning the model as a promising alternative for substantial environmental improvement and regional sustainability.