Title :
The short-term load forecasting based on fuzzy inference rules
Author_Institution :
Shenyang Inst. of Eng., Shenyang, China
Abstract :
The fuzzy system used for short-term load forecasting is put forward. Based on relationship,the available historical load data are divided into some groups. Fuzzy system is used to map these sample data. The amending of rules parameters by descent method makes the output of FS coinciding with the data of loads,and FS can forecast future loads.
Keywords :
fuzzy logic; load forecasting; power engineering computing; FS; fuzzy inference rule; fuzzy logic; short-term load forecasting; Fuzzy logic; Supply and demand; inference rule; load forcasing;
Conference_Titel :
Electricity Distribution (CICED), 2012 China International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-6065-4
Electronic_ISBN :
2161-7481
DOI :
10.1109/CICED.2012.6508456
