Analysis of Measured Data in Unbalanced Distribution System and Method of making of Distribution System Model for Analyzing

2016 ◽  
Vol 136 (6) ◽  
pp. 759-766 ◽  
Author(s):  
Yu Fujita ◽  
Hiroshi Kobayashi ◽  
Takanori Kodera ◽  
Mutsumi Aoki ◽  
Hiroto Suzuki ◽  
...  
2016 ◽  
Vol 199 (1) ◽  
pp. 19-27
Author(s):  
YU FUJITA ◽  
HIROSHI KOBAYASHI ◽  
TAKANORI KODERA ◽  
MUTSUMI AOKI ◽  
HIROTO SUZUKI ◽  
...  

1995 ◽  
Vol 32 (8) ◽  
pp. 221-225 ◽  
Author(s):  
M. Greetham ◽  
B. Holden ◽  
J. Scutt

Analysis of the biofilm on a distribution system model pipe rig gave high readings of extracellular adenosine-5′-triphosphate (ATP). The free ATP was assumed to come from dead cells at the base of the biofilm. The levels were large in proportion to the measured cellular ATP and were unstable. This resulted in errors in the calculation of cellular ATP. An enzyme Somase (0.5%) was employed to hydrolyse the free ATP. Increased accuracy of the measurement of cellular ATP was seen.


1991 ◽  
Vol 18 (2) ◽  
pp. 320-327 ◽  
Author(s):  
Murray A. Fitch ◽  
Edward A. McBean

A model is developed for the prediction of river flows resulting from combined snowmelt and precipitation. The model employs a Kalman filter to reflect uncertainty both in the measured data and in the system model parameters. The forecasting algorithm is used to develop multi-day forecasts for the Sturgeon River, Ontario. The algorithm is shown to develop good 1-day and 2-day ahead forecasts, but the linear prediction model is found inadequate for longer-term forecasts. Good initial parameter estimates are shown to be essential for optimal forecasting performance. Key words: Kalman filter, streamflow forecast, multi-day, streamflow, Sturgeon River, MISP algorithm.


2010 ◽  
Vol 4 (2) ◽  
pp. 30
Author(s):  
. Mubin

This Final duty produce design model distribution system for the finished of problems of product distibution stream. Method which used in system model is method of Crossdocking. Crossdocking used as by method to schedule delivery of product. Ther€ is two step scheduling of delivery, first of scheduling of delivery of factory Sales Center and both scheduling of shipping ofsales Center - outlet. Crossdocking repr€sent distribution melhod as a mean to minimize of is expense of supply, Crossdocking applied by functioned Sales Centar as facility of Crossdock, where at its distribution process of product sent from factory to outlet pass Sales Center without passing inventory storage process. Scheduling of first phase cover amounl, time, target of delivery, and used vehicle. By the end of this system device done by calculation of safety stock as anticipation to avoid stock out to demand of final consumer. Of device model this Crossdockingc an be yielded decrease of inventoryl evel in Sales Center, and decrease of transportation cost from factory to Sales Center.


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