Decision support system for the management of electricity consumption contracts for Smart Grids environment using Differential Evolution and Artificial Neural Network

Daniel Matte Freitas, Joao Onofre P. Pinto, Ruben B. Godoy, Luigi Galotto, Pedro Eugenio M.J. Ribeiro, Alexandra M.A.C. Pinto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The objective of this paper is to present a support system to manage electricity consumption contracts for Smart Grid environment. The system modeling uses historical data consumption and energy trading rules to find the optimal contract structure. Focused Time Lagged Feed forward Network was used to model the historical data. The global search tool Differential Evolution was used to find the best contract structure. This paper presents the use of the tool with current Brazilian pricing rules. However, to change the rules for a dynamic scenario of Smart Grid can be easily implemented. The results are satisfactory and indicate the feasibility of the system for different cases.

Original languageEnglish
Title of host publicationProceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society
Pages7592-7597
Number of pages6
DOIs
StatePublished - 2013
Externally publishedYes
Event39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013 - Vienna, Austria
Duration: Nov 10 2013Nov 14 2013

Publication series

NameIECON Proceedings (Industrial Electronics Conference)

Conference

Conference39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013
Country/TerritoryAustria
CityVienna
Period11/10/1311/14/13

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