Intelligent Case-based System for Decision-making in the Electricity Sector

Authors

  • Nayi Sánchez Fleitas Universidad Central "Marta Abreu" de Las Villas
  • Raúl Comas Rodríguez Universidad Regional Autónoma de los Andes. Ambato, Ecuador
  • María Matilde García Lorenzo Universidad Central "Marta Abreu" de Las Villas
  • Amanda Riverol Quesada Universidad de Cienfuegos

DOI:

https://doi.org/10.13053/cys-23-4-2720

Keywords:

Electricity, case-based system, ontologies

Abstract

The energy is important for the economic development of nations; and one of the main challenges today. The Electrical Union develops two systems for the automatization of transmission and distribution process: the Integral System of Network Management (SIGERE) and the Integral Management System of the Electrical Industry Construction Enterprise (SIGECIE). The data collected facilitate and improve the efficiency in the operation, use, analysis, planning and management of the electricity networks. A weakness of the systems proposed is in the dissatisfaction with the queries carried out. Hence, the objective of the research is: to develop intelligent queries in real time, based on existing knowledge that facilitate decision making in the electrical energy transmission and distribution processes. In the research a case-based system is develop, that it’s based on the premise that similar previous problems will have similar solutions. The similarity between two cases is determined by the weighted sum of the distance of their traits and the calculation of the distance between traits was done according to its nature. The conceptual basis of the system is develop with a lightweight ontology which it is incorporated in the cases database as a trait. An intelligent real-time queries system for the Electric Union (SICUNE) was implemented, achieving the generation of automatic queries that allow the system to respond to any type of queries in real time. The experimental study showed the feasibility of the proposal

Author Biographies

Nayi Sánchez Fleitas, Universidad Central "Marta Abreu" de Las Villas

Received B.Sc in Computer Science from the UCLV in 2001. She is PhD candidate in the UCLV. She works in the develop group of ATI SS. Her research interests include Cases Base Reasoning, ontologies and machine learning

Raúl Comas Rodríguez, Universidad Regional Autónoma de los Andes. Ambato, Ecuador

PhD Degree in Technical Science obtained in Matanzas University, Cuba in 2013. Received B.Sc in Computer Science from the UCLV in 2001 and M.Sc in Management in Sancti Spíritus University in 2010. Research Analyst in the Regional Autonomous of the Andes University, Ecuador. He is interests in Information System, Business Informatics and Artificial Intelligences techniques.

María Matilde García Lorenzo, Universidad Central "Marta Abreu" de Las Villas

Received her B.Sc. degree in Mathematical Cybernetics from the UCLV, Santa Clara, Cuba, in 1985 and her Ph.D. in Technical Sciences from UCLV in 1997. She is a full time professor at the Artificial Intelligence Lab of the Center of Studies on Informatics, UCLV, where she is also the General Coordinator of the Master in Computer Science Program (AUIP awarded). Also, she exhibits a long record of academic exchange with many universities in Latin America and Europe. Dr. Garcia has authored 6 books, published over 150 papers in conference proceedings and scientific journals and supervised several Bachelor, Master and Ph.D. theses. She received numerous prestigious awards from the Cuban Academy of Sciences and other renowned scientific societies.

Amanda Riverol Quesada, Universidad de Cienfuegos

Received B.Sc in Computer Science from the UCLV in 2001, en 2015. She studies the Computer Science M.Sc. in the UCLV. She works in the develop group of Cienfuegos University. Her research interests include Cases Base Reasoning, ontologies and machine learning

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Published

2019-12-20

Issue

Vol. 23 No. 4 (2019): 23-4(2019)

Section

Articles

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