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Comunicación clara y concisa: Te explico los resultados de forma comprensible.
Compromiso con la excelencia: Me apasiona entregar un trabajo de alta calidad.
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se centrales de generación en el largo plazo.
• Evaluación del impacto de diferentes políticas energéticas en la seguridad y confiabilidad del sistema eléctrico,
utilizando modelos de simulación.
• Utilización del software SDDP para la simulación y optimización de la operación de sistemas hidrotérmicos,
considerando la incertidumbre en la disponibilidad de agua y la demanda.
• Aplicación de OPTGEN para la planificación de la expansión de la generación, evaluando diferentes tecnologías
y su impacto en el costo de la energía.
• Desarrollo de scripts en Python para automatizar el análisis de datos y la generación de informes.
• Gestión de bases de datos de recursos energéticos, costos de generación, y datos de mantenimiento de las
centrales eléctricas.
• Elaboración informes técnicos para la toma de decisiones en la planificación del sector eléctrico.
• Evaluación de la viabilidad técnica de integración de nuevas centrales de generación al sistema.
• Evaluación de la viabilidad técnica de desafectación de nuevas centrales de generación al sistema.
• Análisis de grandes conjuntos de datos del Sistema Nacional Interconectado para identificar patrones de
comportamiento.
• Análisis estadísticos y de series temporales para la predicción de la generación de energía renovable (solar,
eólica, hidroeléctrica).
• Elaboración de estudios de planificación de la generación a largo plazo, considerando la incorporación de
nuevas tecnologías y el crecimiento de la demanda.

• Análisis de la demanda energética a nivel nacional identificando patrones de consumo y factores que influyen
en la demanda para predecir las necesidades futuras de energía.
• Desarrollo de modelos de predicción de la demanda a corto, mediano y largo plazo, utilizando técnicas
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• Evaluación del impacto de diferentes políticas en la demanda energética, como tarifas, programas de
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• Planificación de la integración de la generación distribuida a la red, evaluando su impacto en la operación del
sistema.
• Análisis de la calidad del servicio eléctrico, evaluando indicadores como la frecuencia y duración de las
interrupciones.
Desarrollo de modelos para la predicción de la demanda de energía en el campo de la movilidad eléctrica,
considerando la penetración de vehículos eléctricos y la infraestructura de carga.
• Realización de estudios adicionales relacionados con la movilidad eléctrica,como la evaluación del impacto de
la infraestructura de carga en la red de distribución y la planifi cación de la expansión de la red para atender la
demanda de vehículos eléctricos.
• Gestión de bases de datos en las áreas de distribución y demanda, incluyendo información de clientes,
consumos, infraestructura y generación distribuida.
• Utilización de bases de datos para el análisis de la demanda, la planifi cación de la red y la toma de decisiones.
• Calculo del Costo Nivelado de Energía (LCOE) para diferentes tecnologías de generación.
• Calculo de la cobertura eléctrica, analizando el acceso al servicio en diferentes zonas, utilizando técnicas de
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• Desarrollo de metodologías para el cálculo del Costo de Energía No Suministrada (CENS).
• Utilización del software especializado como CYMDIST para la simulación y análisis de redes de distribución.
• Programación en R y Python para el desarrollo de modelos matemáticos, la automatización de tareas de
análisis y la gestión de bases de datos.","rawText":"• Participación en el Plan Maestro de Electricidad, realizando análisis de escenarios y proyecciones de despacho se centrales de generación en el largo plazo. • Evaluación del impacto de diferentes políticas energéticas en la seguridad y confiabilidad del sistema eléctrico, utilizando modelos de simulación. • Utilización del software SDDP para la simulación y optimización de la operación de sistemas hidrotérmicos, considerando la incertidumbre en la disponibilidad de agua y la demanda. • Aplicación de OPTGEN para la planificación de la expansión de la generación, evaluando diferentes tecnologías y su impacto en el costo de la energía. • Desarrollo de scripts en Python para automatizar el análisis de datos y la generación de informes. • Gestión de bases de datos de recursos energéticos, costos de generación, y datos de mantenimiento de las centrales eléctricas. • Elaboración informes técnicos para la toma de decisiones en la planificación del sector eléctrico. • Evaluación de la viabilidad técnica de integración de nuevas centrales de generación al sistema. • Evaluación de la viabilidad técnica de desafectación de nuevas centrales de generación al sistema. • Análisis de grandes conjuntos de datos del Sistema Nacional Interconectado para identificar patrones de comportamiento. • Análisis estadísticos y de series temporales para la predicción de la generación de energía renovable (solar, eólica, hidroeléctrica). • Elaboración de estudios de planificación de la generación a largo plazo, considerando la incorporación de nuevas tecnologías y el crecimiento de la demanda. • Análisis de la demanda energética a nivel nacional identificando patrones de consumo y factores que influyen en la demanda para predecir las necesidades futuras de energía. • Desarrollo de modelos de predicción de la demanda a corto, mediano y largo plazo, utilizando técnicas estadísticas y de Machine Learning. • Evaluación del impacto de diferentes políticas en la demanda energética, como tarifas, programas de eficiencia energética e incentivos a la generación distribuida. • Planificación de la integración de la generación distribuida a la red, evaluando su impacto en la operación del sistema. • Análisis de la calidad del servicio eléctrico, evaluando indicadores como la frecuencia y duración de las interrupciones. Desarrollo de modelos para la predicción de la demanda de energía en el campo de la movilidad eléctrica, considerando la penetración de vehículos eléctricos y la infraestructura de carga. • Realización de estudios adicionales relacionados con la movilidad eléctrica,como la evaluación del impacto de la infraestructura de carga en la red de distribución y la planifi cación de la expansión de la red para atender la demanda de vehículos eléctricos. • Gestión de bases de datos en las áreas de distribución y demanda, incluyendo información de clientes, consumos, infraestructura y generación distribuida. • Utilización de bases de datos para el análisis de la demanda, la planifi cación de la red y la toma de decisiones. • Calculo del Costo Nivelado de Energía (LCOE) para diferentes tecnologías de generación. • Calculo de la cobertura eléctrica, analizando el acceso al servicio en diferentes zonas, utilizando técnicas de análisis geoespacial • Desarrollo de metodologías para el cálculo del Costo de Energía No Suministrada (CENS). • Utilización del software especializado como CYMDIST para la simulación y análisis de redes de distribución. • Programación en R y Python para el desarrollo de modelos matemáticos, la automatización de tareas de análisis y la gestión de bases de datos.","canEdit":false,"editUrl":"https://www.workana.com/freelancer/7da6f92287faa6daf80b8d09190780e0/profile/history","g11n":{"edit":"Edit","save":"Save","cancel":"Cancel","warning":"Warning: Don't share contact information or you may be blocked.","expandText":"View more","collapseText":"View less","placeholder":"Describe your work on previous projects, your role, and your contributions for each milestone of your professional career. 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