loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Luiz Faria 1 ; António Silva 1 ; Zita Vale 1 ; Carlos Ramos 2 and Albino Marques 3

Affiliations: 1 Knowledge Engineering and Decision Support Research Centre, Institute of Engineering – Polytechnic of Porto, Portugal ; 2 Institute Of Engineering, Polytechnic Of Porto, Portugal ; 3 REN – Energy Networks of Portugal, Portugal

Keyword(s): Intelligent Tutoring Systems, Intelligent Alarm Processing, Diagnosis, Restoration, Control Centres, Power Systems.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Expert Systems ; Health Information Systems ; Industrial Applications of AI ; Knowledge Engineering and Ontology Development ; Knowledge Representation and Reasoning ; Knowledge-Based Systems ; Soft Computing ; Symbolic Systems

Abstract: The activity of Control Center operators is important to guarantee the effective performance of Power Systems. Operators’ actions are crucial to deal with incidents, especially severe faults, like blackouts. In this paper we present an Intelligent Tutoring approach for training Portuguese Control Centre operators in tasks like incident analysis and diagnosis, and service restoration of Power Systems. Intelligent Tutoring System (ITS) approach is used in the training of the operators, taking into account context awareness and the unobtrusive integration in the working environment.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 13.59.2.242

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Faria, L.; Silva, A.; Vale, Z.; Ramos, C. and Marques, A. (2009). AN INTELLIGENT TUTORING SYSTEM FOR OPERATORS’ TRAINING IN POWER SYSTEM CONTROL CENTRES. In Proceedings of the International Conference on Agents and Artificial Intelligence - ICAART; ISBN 978-989-8111-66-1; ISSN 2184-433X, SciTePress, pages 37-44. DOI: 10.5220/0001656200370044

@conference{icaart09,
author={Luiz Faria. and António Silva. and Zita Vale. and Carlos Ramos. and Albino Marques.},
title={ AN INTELLIGENT TUTORING SYSTEM FOR OPERATORS’ TRAINING IN POWER SYSTEM CONTROL CENTRES},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - ICAART},
year={2009},
pages={37-44},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001656200370044},
isbn={978-989-8111-66-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - ICAART
TI - AN INTELLIGENT TUTORING SYSTEM FOR OPERATORS’ TRAINING IN POWER SYSTEM CONTROL CENTRES
SN - 978-989-8111-66-1
IS - 2184-433X
AU - Faria, L.
AU - Silva, A.
AU - Vale, Z.
AU - Ramos, C.
AU - Marques, A.
PY - 2009
SP - 37
EP - 44
DO - 10.5220/0001656200370044
PB - SciTePress