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

Author:

Aguilar DiegoORCID,Quinones Jhon J.ORCID,Pineda Luis R.ORCID,Ostanek JasonORCID,Castillo Luciano

Publisher

Elsevier BV

Reference62 articles.

1. Why microgrids are becoming an important part of the energy infrastructure;Pullins,2019

2. Artificial intelligence applications for microgrids integration and management of hybrid renewable energy sources;Talaat;Artif Intell Rev,2023

3. Microgrids: A review of technologies, key drivers, and outstanding issues;Hirsch;Renew Sustain Energy Rev,2018

4. Integrating renewables in electricity markets: operational problems;Morales,2013

5. Electricity day-ahead market conditions and their effect on the different supervised algorithms for market price forecasting;Loizidis;Energies,2023

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