DocumentCode
3188652
Title
Method of medium-term industrial load forecasting of region
Author
Yurievich, Lesnichenko Alexander
Author_Institution
Electr. Power Supply Ind. Enterprises, Moscow Power Eng. Inst. (MPEI), Moscow, Russia
fYear
2010
fDate
18-22 Dec. 2010
Firstpage
280
Lastpage
283
Abstract
This paper presents a new medium-term forecasting method applied to load of a particular region. This is a hybrid method based on neural networks and technocenosis theory. The theory in its turn is based on idea to regard big infrastructure objects as an entity of technical products. The main advantage of describing method is that it allows to account system constraints and dependences, and structural range of power consumers. Necessary data for analysis was collected using corporate ERP system.
Keywords
load forecasting; neural nets; power engineering computing; data analysis; medium-term industrial load forecasting method; neural networks; technocenosis theory; Artificial neural networks; Companies; Forecasting; Load forecasting; Maintenance engineering;
fLanguage
English
Publisher
ieee
Conference_Titel
Energy Conference and Exhibition (EnergyCon), 2010 IEEE International
Conference_Location
Manama
Print_ISBN
978-1-4244-9378-4
Type
conf
DOI
10.1109/ENERGYCON.2010.5771691
Filename
5771691
Link To Document