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Development of Electrical Energy Price and Demand Estimator Based on Intelligent Systems Applied to Smart Grids

Grant number: 13/07843-3
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): July 01, 2013
Effective date (End): June 30, 2015
Field of knowledge:Engineering - Electrical Engineering - Power Systems
Principal researcher:Ricardo Augusto Souza Fernandes
Grantee:Maristela Silva dos Santos
Home Institution: Centro de Ciências Exatas e de Tecnologia (CCET). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil

Abstract

This research project has as main objective the implementation intelligent systems (mainly, Artificial Neural Networks and Fuzzy Inference Systems) with the aim of obtaining electrical energy price and demand estimation. In addition, this research focuses on identifying features which are relevant for these estimators. In order to do that, the early mentioned intelligent systems will be used and their accuracy will be verified in order to guarantee a satisfactory precision rate. Following the context above mentioned, not only the development of tools is intended, but also testing their performances when facing long-term, short-term and very short-term forecasting scenarios. Furthermore, it is intended to define electric power price categories based on appropriated features. Thus, this method will be employed on the Smart Grid context.