symbolic dynamic models for highly varying power system loads
symbolic dynamic models for highly varying power system loads
symbolic dynamic models for highly varying power system loads
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25<br />
3.4 Analysis tools<br />
To analyze the results of the tests, some parameters have been taken into<br />
consideration. Especially while <strong>for</strong>ecasting a signal, it is difficult to comment on the<br />
goodness of the model unless some characteristics of the expected signal and predicted<br />
signal are compared. Two important parameters to be compared in this regard are RMS<br />
and average.<br />
Table 3.1 Test statistics <strong>for</strong> categories A and B*<br />
Test Signal 1 Signal 2<br />
Interval<br />
(radian)<br />
Points<br />
per<br />
cycle<br />
Maximum<br />
word.<br />
length<br />
Words<br />
in<br />
dictionary.<br />
ST-A01<br />
sin(θ)<br />
sin(θ+δ)<br />
[0,24π]<br />
50<br />
3<br />
1797<br />
ST-B01<br />
sin(θ)<br />
θ+sin(θ)<br />
[0,24π]<br />
50<br />
3<br />
1797<br />
ST-B02<br />
sin(θ)<br />
random no.<br />
[0,24π]<br />
50<br />
3<br />
1797<br />
ST-B03<br />
sin(θ)<br />
sin(θ)+noise<br />
[0,24π]<br />
50<br />
3<br />
1797<br />
* All the listed tests are <strong>for</strong> CSI verification.