Forecasting methodologies for energy systems

• Grant number: 03/10019-9
• Support Opportunities: Research Projects - Thematic Grants
• Start date: May 01, 2004
• End date: April 30, 2008
• Field of knowledge: Engineering - Electrical Engineering
• Principal Investigator: Fernando Antonio Campos Gomide
• Grantee: Fernando Antonio Campos Gomide
• Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• City of the host institution: Campinas
• Principal investigators: Rosangela Ballini ; Takaaki Ohishi

Abstract

The purpose of the project is to join electric system prediction models and computational intelligence researchers to develop new approaches and to improve current methods to predict streamflow, load and electricity market. Streamflow, load and electricity market are key variables to plan and to effectively operate power and energy systems. In addition to classical statistical and stochastic methods, the project aims to develop approaches based on fuzzy systems, neural networks, clustering, pattern recognition and hibridizations to achieve more reliable and precise estimates for short, medium and long-range values of streamflows, loads and electricity market. (AU)

Scientific publications

(5)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

HELL, MICHEL; BALLINI, ROSANGELA; COSTA, PYRAMO, JR.; GOMIDE, FERNANDO; STEPNICKA, M; NOVAK, V; BODENHOFER, U. Training Neurofuzzy Networks with Participatory Learning. NEW DIMENSIONS IN FUZZY LOGIC AND RELATED TECHNOLOGIES, VOL II, PROCEEDINGS, v. N/A, p. 2-pg., 2007-01-01. (03/10019-9)

HELL, MICHEL; GOMIDE, FERNANDO; BALLINI, ROSANGELA; COSTA, PYRAMO, JR.; IEEE. Uninetworks in Time Series Forecasting. 2009 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, v. N/A, p. 2-pg., 2009-01-01. (03/10019-9)

HELL, MICHEL; COSTA, PYRAMO, JR.; GOMIDE, FERNANDO; REFORMAT, M; BERTHOLD, MR. Nullneurons-based hybrid neurofuzzy network. NAFIPS 2007 - 2007 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, v. N/A, p. 2-pg., 2007-01-01. (03/10019-9)

LIMA, ELTON; GOMIDE, FERNANDO; BALLINI, ROSANGELA; ANGELOV, P; FILEV, D; KASABOV, N; CORDON, O. Participatory evolving fuzzy modeling. 2006 INTERNATIONAL SYMPOSIUM ON EVOLVING FUZZY SYSTEMS, PROCEEDINGS, v. N/A, p. 2-pg., 2006-01-01. (03/10019-9)

HELL, MICHEL; COSTA, PYRAMO, JR.; GOMIDE, FERNANDO; IEEE. Hybrid Neurofuzzy Computing With Nullneurons. 2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6, v. N/A, p. 2-pg., 2008-01-01. (03/10019-9)