Fuzzy interpolation of hydro power sales data in Simulink

Jan Jantzen, B. Eliasson

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

312 Downloads (Pure)

Abstract

The problem in this case study can be described as a multi-dimensional surface fit to a given set of data. The data are sales figures in MWH/H for a hydro-thermal power generation system. The data are incomplete and not totally reliable. A model with ten fuzzy rules fits the data with a total error of 19%; with twenty-six rules the error would be 0%. The model is used in the long term planning concerning operating costs. It is further intended as a short term decision support for operators when negotiating power interchange contracts
Original languageEnglish
Title of host publicationProceedings of the 3rd IEEE Conference on Fuzzy Systems
VolumeVolume 3
PublisherIEEE
Publication date1994
Pages1857-1860
ISBN (Print)07-80-31896-X
DOIs
Publication statusPublished - 1994
EventIEEE International Conference on Fuzzy Systems : World Congress on Computational Intelligence - Orlando, FL
Duration: 1 Jan 1994 → …
Conference number: 3rd

Conference

ConferenceIEEE International Conference on Fuzzy Systems : World Congress on Computational Intelligence
Number3rd
CityOrlando, FL
Period01/01/1994 → …

Bibliographical note

Copyright: 1994 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

Cite this

Jantzen, J., & Eliasson, B. (1994). Fuzzy interpolation of hydro power sales data in Simulink. In Proceedings of the 3rd IEEE Conference on Fuzzy Systems (Vol. Volume 3, pp. 1857-1860). IEEE. https://doi.org/10.1109/FUZZY.1994.343576