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Load forecasting in the user side using wavelet-ANFIS

Author
Giacometto, Francisco javier; Cardenas, J.; Kampouropoulos, K.; Romeral, L.
Type of activity
Presentation of work at congresses
Name of edition
38th Annual Conference on IEEE Industrial Electronics Society
Date of publication
2012
Presentation's date
2012-10
Book of congress proceedings
IECON 2012: the 38th Annual Conference of the IEEE Industrial Electronics Society: Montreal, Canada: 25-28 October 2012: proceedings
First page
1049
Last page
1054
Repository
http://hdl.handle.net/2117/18609 Open in new window
URL
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6388575&tag=1 Open in new window
Abstract
At present, the intelligent energy management systems (IEMS) are used to maximiz the relation between productivity and cost using a variety of energy sources. Tn this work, we present a method of short-time load forecasting, using the ANFTS model and a component of preprocessing based in the discrete wavelet transform; the models was implemented in the user-side, analyzing real data of a factory in order to test the proposed algorithm
Citation
Giacometto, F. [et al.]. Load forecasting in the user side using wavelet-ANFIS. A: Annual Conference of the IEEE Industrial Electronics Society. "Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society". 2012, p. 1049-1054.
Keywords
discrete wavelet transforms, energy management systems, energy resources, fuzzy neural nets, inference mechanisms, load forecasting, power engineering computing, power system economics, power system simulation
Group of research
MCIA - Motion Control and Industrial Applications Research Group
PERC-UPC - Power Electronics Research Centre

Participants

  • Giacometto Torres, Francisco Javier  (author and speaker )
  • Cardenas Araujo, Juan Jose  (author and speaker )
  • Kampouropoulos, Konstantinos  (author and speaker )
  • Romeral Martinez, Jose Luis  (author and speaker )