Editorial: An overview of Applied Artificial Intelligence in Power Grids

Authors

DOI:

https://doi.org/10.61467/2007.1558.2024.v15i4.532

Keywords:

Artificial intelligence, Machine Learning, energy sector, applications of AI

Abstract

Power grids are networks of lines and equipment used for electrical power generation, transmission, distribution, and consumption. Power grids are undergoing a process of digital transformation based on emerging information and communication technologies, with the aim of optimising the operation of power systems, increasing efficiency, reliability, sustainability, security, and quality of service, while reducing CO2 emissions. In this process of digital transformation, Artificial Intelligence (AI) has become a strategic element within power grids. This paper provides an overview of AI applications in power grids and how they can improve the efficiency, reliability, and availability of their processes. It analyses the main challenges and prospects for the future application of AI in power grids. AI applications help process large volumes of data and generate insights, with a focus on two primary functions: supporting operations and aiding strategic decision-making. These factors highlight the significant potential for AI application in power grids and solidify AI as a strategic key to the development of smart grids.

Author Biography

Gustavo Arroyo-Figueroa, INEEL

Gustavo Arroyo-Figueroa completed his Ph.D. in Computer Science at Monterrey Institute of Technology and his undergraduate studies at the Celaya Institute of Technology. Currently, is head and researcher in the area of Information Technologies at Instituto Nacional de Electricidad y Energías Limpias. His research includes developed of information systems and Applied Artificial Intelligence for power systems. For more than 30 years, he has worked in Artificial Intelligence applications for Electric Power Utilities for task of automation, intelligent control, Diagnosis, Prediction, Forecasting, Data Driven Smart Energy Management, Smart Grid, Intelligent Learning and Intelligent computer security. Dr. Arroyo-Figueroa has published over 100 journal and congress papers published in national and international journals and conferences. He is reviewer for several national and international journals and he has held various roles in scientific committees of congress and meetings. He is member of National Research System of Mexico and board of the Mexican Society of Artificial Intelligence and national member of SC D2 CIGRE (Information systems and Communications). Recently collaborate in the group CIGRE JWG D2/C2.41 Advanced Utility Data Management and Analytics for Improved Situational Awareness of EPU Operations (TB 732) and currently collaborate in the group CIGRE D2/2.52 Artificial Intelligent Applications and Technology in Power Industry. His subjects of interest are Machine Learning, Data Science, Big Data Analytics, Applied Artificial Intelligence, and Smart Grid.

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Published

2024-11-04

How to Cite

Arroyo-Figueroa, G. (2024). Editorial: An overview of Applied Artificial Intelligence in Power Grids. International Journal of Combinatorial Optimization Problems and Informatics, 15(4), 1–6. https://doi.org/10.61467/2007.1558.2024.v15i4.532

Issue

Vol. 15 No. 4 (2024)

Section

COMIA

License

Copyright (c) 2024 International Journal of Combinatorial Optimization Problems and Informatics

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