MODELING AND SHORT-TERM FORECASTING OF TECHNOLOGY COMPONENT OF ELECTRICAL LOAD OF THE REGIONAL ELECTRIC POWER SYSTEM

2016 ◽  
Vol 2016 (4) ◽  
pp. 68-70 ◽  
Author(s):  
P. Chernenko ◽  
◽  
O. Martyniuk ◽  
V. Miroshnyk ◽  
◽  
...  
2021 ◽  
Vol 2021 (2) ◽  
pp. 77-83
Author(s):  
P.O. Chernenko ◽  
◽  
V.V. Sychova ◽  

Based on the research, the article presents three algorithms that allow to select from the overall electrical load (OEL) of the power system technological and temperature components in each hour of the daily schedule, which provides greater accuracy of short-term forecasting (STF) OEL of the power system. Calculations by three algorithms were performed according to Kyivenerho. The analysis of reading temperature sensors on four sources from the point of view of possibility of their application at STF is carried out. References 6, figures 3, tables 3.


2017 ◽  
Vol 7 (1) ◽  
pp. 25-32
Author(s):  
Oksana Hoholyuk ◽  
◽  
Yuriy Kozak ◽  
Taras Nakonechnyy ◽  
Petro Stakhiv ◽  
...  

Author(s):  
Le Zan'

Work provide a method for modelling and identificate parameters of electrical load to control the status of electric power system with actively adaptive networks.


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