WSEAS Transactions on Power Systems
Print ISSN: 1790-5060, E-ISSN: 2224-350X
Volume 20, 2025
Methodological Basis for Robust Power System Planning in Capital and Intermediate Cities using Machine Learning and Computational Intelligence Techniques
Authors: ,
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Abstract: This work proposes the methodological basis in the development of a robust power system planning
model for capital and intermediate cities using machine learning and computational intelligence techniques. The
model, following the methodological basis, seeks to optimize the distribution of energy resources through the
analysis of key variables, such as energy demand, generation capacity, use of renewable sources, operating costs
and physical distribution infrastructure. The integration of artificial intelligence techniques (and availability of
data) allows capturing complex patterns in the operation of the electric system, improving demand prediction and
generation dispatch optimization. To this end, a data set is implemented that includes historical information on
energy consumption, meteorological variables and characteristics of the electrical infrastructure.
Keywords:
Computational learning, electrical generation, electrical power systems, robust model, sustainability
Pages: 431-439
DOI: 10.37394/232016.2025.20.34