Diego Aguilar, MSc

Diego Aguilar, MSc

Graduate Researcher
PhD ECE Student
Power & Energy Systems

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

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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