Hierarchical AC optional power flow of multi-microgrid systems using a combination of learning-based and lagrangian methods

Hierarchical AC optional power flow of multi-microgrid systems using a combination of learning-based and lagrangian methods

Bibliographic Details
Main Author: Cabaoig, Ronald R. (Author)
Other Authors: Pedrasa, Michael Angelo A. (adviser.)
Format: Thesis
Language:English
Published: Quezon City College of Engineering, University of the Philippines Diliman 2024.
Subjects:
Microgrids (Smart power grids)
Renewable energy sources.
Neural networks (Computer science)