Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/113880
Title: Decision support for complex systems: a smart grid case
Authors: Évora Gómez, José 
Hernández Cabrera, José Juan 
Hernández Tejera, Francisco Mario 
UNESCO Clasification: 220203 Electricidad
120704 Distribución y transporte
120318 Sistemas de información, diseño componentes
Keywords: power grid system, complex system, power grid, demand side management, smart grid, data exploitation, decision support system, business intelligence, information visualisation, OLAP
Issue Date: 2013
Citation: https://www.researchgate.net/publication/256932744_Decision_support_for_Complex_Systems_a_Smart_Grid_case
Conference: Complex Systems Modeling and Simulation, Cosmos 2013, workshop adscribed at UCNC'13
Abstract: Transitioning from traditional power grids to Smart Grids involves the use of a diffpower grid system, complex system, power grid, demand side management, smart grid, data exploitation, decision support system, business intelligence, information visualisation, OLAPerent approach based on complex systems to analyse the demand of power grids. This analysis provides information which supports the decision making when developing new policies for Smart Grids. These policies are designed and then tested through simulations since it is not possible to test them directly in a real power grid. Simulation output data can be analysed using a Business Intelligent approach in order to nd out KPI (Key Performance Indicators) which support decisions that tune policies. The way in which the results management should be dealt with is through an OLAP (On-Line Analytical Processing) approach which enhances the capability of querying data.
URI: http://hdl.handle.net/10553/113880
Appears in Collections:Actas de congresos
Show full item record

Page view(s)

133
checked on Oct 31, 2024

Google ScholarTM

Check


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.