Fuzzy Logic Based Short_Term Electric Load Forecasting
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F01%3APU24464" target="_blank" >RIV/00216305:26210/01:PU24464 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Fuzzy Logic Based Short_Term Electric Load Forecasting
Original language description
This paper describes the implementation of fuzzy logic model and fuzzy set theory for short-term load forecasting. The proposed technique utilizes fuzzy rules to incorporate historical weather and load data. The strengths of this powerful technique lie in its ability to forecast accurately on weekdays, weekends and public holidays. The use of fuzzy logic effectively handles the load variations due to special events. The fuzzy logic has been extensively tested on actual data obtained from the Czech Electtric Power Company (ČEZ) for 24-hour ahead prediction. Test results indicate that the fuzzy rule base can produce results better in accuracy than artificial neural networks (ANNs) method.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
—
Result continuities
Project
—
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ELEKTRO 2001, 4th International Scientific Conference
ISBN
80-7100-836-2
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
19-24
Publisher name
n
Place of publication
Žilina, SR
Event location
Žilina
Event date
May 22, 2001
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—