Perfil

Diego Restrepo-Leal, ingeniero electrónico, Magister en Ciencias Físicas, cuenta con experiencia en investigación y desarrollo de proyectos relacionados con inteligencia computacional aplicada al control del seguimiento del punto de máxima potencia en sistemas fotovoltaicos, estimación y reconstrucción de series de tiempo, análisis de datos y estudio de nuevos materiales.

Información adicional

• Descargar Curruculum Vitae

• CvLAC

• Google académico

• ORCID

• Medium

• Gitlab

• CodinGame

• Kaggle

Publicaciones

Artículos científicos

• Offline Parameter Identification of Second-order Discrete Systems using Metaheuristic Algorithms

• Optimal Site Selection for Solar PV Systems in the Colombian Caribbean: Evaluating Weighting Methods in a TOPSIS Framework

• Reducing CO2 Emissions by Off-Grid Photovoltaic Systems: A Case Study in the Departamento del Magdalena - Colombia

• Structural, Electronic, and Optical Properties of Wurtzite VxAl1−xN Alloys: A First-Principles Study

• Wind power prediction using a nonlinear autoregressive exogenous model network: the case of Santa Marta, Colombia

• Techno-Economic Analysis of MPPT and PWM Controllers Performance in Off-Grid PV Systems

• Code and data from an ADALINE network trained with the RTRL and LMS algorithms for an MPPT controller in a photovoltaic system

• Complementary material: Code and data from an ADALINE network trained with the RTRL and LMS algorithms for an MPPT controller in a photovoltaic system

• Data sets of predicted stable and meta-stable crystalline phase structural of Nb-N system under pressure

• Complementary material: Data sets of predicted stable and meta-stable crystalline phase structural of Nb-N system under pressure

• Reconstructed data of landings for the artisanal beach seine fishery in the marine-coastal area of Taganga, Colombian Caribbean Sea

• Estabilidad estructural y electrónica para la adsorción de Nb sobre la superficie polar del AlN

• Data from multimodal functions based on an array of photovoltaic modules and an approximation with artificial neural networks as a scenario for testing optimization algorithms

• Search for Global Maxima in Multimodal Functions by Applying Numerical Optimization Algorithms: A Comparison between Golden Section and Simulated Annealing

• A Novel Approach for an MPPT Controller Based on the ADALINE Network Trained with the RTRL Algorithm

• A Low-Cost Maximum Power Point Tracking System Based on Neural Network Inverse Model Controller

Libros

• Control neuronal y difuso para sistemas fotovoltaicos

• El camino a las redes neuronales artificiales