Scope of the Subcommittee
The Intelligent System Applications (ISA) Subcommittee investigates the development and applications of intelligent system methodologies and tools for problem solving in power system engineering. These intelligent system techniques include expert systems, knowledge engineering, artificial neural networks, fuzzy logic, machine learning, evolutionary algorithms and heuristic search methods.
The ISA Subcommittee organizes working groups and task forces that investigate innovative intelligent system methods and tools and their applications to power system engineering. This subcommittee sponsors technical sessions, tutorial courses, workshops, conferences and other activities for effective dissemination of the state-of-the-art information within the technical area of the subcommittee. This subcommittee coordinates activities on intelligent system applications with other groups in IEEE Power Engineering Society and other technical organizations including CIGRE.
The Subcommittee’s intent is to focus on the following topics.
System modeling and analysis
Consult, Use, Contribute, and Disseminate the Initiative of providing power system professionals with Public Data Sets
The IEEE Working Group (WG) on Intelligent Data Mining and Analysis makes power and energy related data sets available whenever confidentiality and data property issues do not prevent their public use.
These data are intended to be used by researchers and other professionals working in power and energy related areas and requiring data for design, development, test, and validation purposes. These data should not be used for commercial purposes.
The public data sets are permanently available in http://sites.ieee.org/pes-iss/data-sets.
Dissemination of this initiative is taking place so that the number and diversity of the published data sets increase over time and can be used as a valuable public resource for R&D activities. Your contribution for this initiate can be very important. Please disseminate and contribute; use our contact points (firstname.lastname@example.org; email@example.com) to have all the data that can be made public published in the website.
Zita A. Vale,
Polytechnic of Porto
To be announced.
Alexandre P. Alves Da Silva,
Federal University of Rio de Janeiro
This subcommittee is a part of the Power Systems Analysis, Computing, and Economics Committee of the Power Engineering Society.