Posts by Collection

Optimal scheduling of renewable energy microgrids: A robust multi-objective approach with machine learning-based probabilistic forecasting

Published in Applied Energy, 2024

This work presents an innovative approach that incorporates ML probabilistic forecasting into rolling horizon strategies for the economic dispatch - unit commitment problem, which are two techniques not often merged in the current state of the art.

Recommended citation: D. Aguilar, J. Quinones, L. Pineda, J. Ostanek, L. Castillo. (2024). "Optimal scheduling of renewable energy microgrids: A robust multi-objective approach with machine learning-based probabilistic forecasting." Applied Energy.
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Computational Methods for Renewable Energies: A Multi-Scale Perspective

Published in Purdue University, MSc dissertation, 2024

This dissertation focuses on studying and developing software tools to support clean energy transitions across different scales - from local microgrids to international energy corridors.

Recommended citation: D. Aguilar (2024). "Computational Methods for Renewable Energies: A Multi-Scale Perspective." Purdue University, MSc dissertation.
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MEC 406: Programmable Logic Controllers

Lecturer | UNITEC (2019, 2020, 2021, 2022)

This course delves into the study of theoretical and practical concepts required for the automation of industrial processes. It covers topics of sequential control and automation by means of programmable logic controllers (PLCs) and intelligent devices.

MEC 408: Industrial Networks

Lecturer | UNITEC (2019, 2022)

This course focuses on Industrial Networks—specialized communication systems used in automated industries. It examines how these networks enable the integration of control devices (such as PLCs) with various sensors and actuators, allowing for efficient monitoring and control through SCADA systems and HMI interfaces.

ECE 61000: Energy Conversion

Teaching Assistant | Purdue University (2024)

This course introduces the fundamentals of rotating electric machinery and power electronic drives. It covers the theoretical principles of electromechanical energy conversion and offers a rigorous study of major classes of electric machines. Additionally, the course presents the basics of three-phase dc-ac power electronic converters, emphasizing their role in applications ranging from industrial systems to renewable energy and electric vehicles.