5. Both loads are shown to have linear relationships with MIDW which means that there is a direct correlation
Max Min AVG between the how MIDW changes from month to month and how each PV and FC change the same
PV VS MIDW PV VS MIDW PV VS MIDW
25.95% 0.03% 7.35%
FC VS MIDW FC VS MIDW FC VS MIDW There are several months where the difference is almost 50% difference from PV vs MIDW to FC vs MIDW
44.90% 0.24% 8.23% However since the difference average is less than or at 10 % difference then there is a clear and defined correlation
However there will be some of the days that will be out of the range of that average
PV FC MIDW this makes it very risky to try and find the prices using historic data along with the MIDW prices.
Average Average Average
1 Jan 10.9% 8.1% 11.1%
2 Feb 9.7% 10.6% 14.4%
3 MAR 14.9% 18.0% 16.8%
4 APR 11.0% 12.7% 12.6%
5 MAY 8.7% 14.0% 10.2%
6 JUN 9.2% 13.5% 12.1%
7 JUL 22.2% 16.3% 21.9%
8 AUG 17.7% 12.1% 12.9%
9 SEP 13.7% 12.0% 17.8%
10 OCT 10.6% 10.6% 10.4%
11 NOV 9.2% 7.2% 7.4%
12 DEC 12.2% 19.3% 16.3%
PV FC MIDW This Graph is showing the averages of PV FC and MIDW for each month.
Standard Deviation Just by looking at the graph you can see a huge correlation between the graphs
Jan 0.106742061 0.05258199 0.132971 They all seem to follow the same pattern in their up and down trends.
Feb 0.103717604 0.098262823 0.141628 Using just this fact you could use the correlation between PV FC and MIDW
MAY 0.069895609 0.102742018 0.105996 to track huge dips and upturns in the market prices, however due to the fact that these price
JUN 0.072159813 0.073955388 0.065118 changes are different enough in some sections such as april-june september-november you could not use one set of
JUL 0.102250659 0.140358496 0.059437 data to predict the prices in these ranges.
AUG 0.075821899 0.063108232 0.108916
SEP 0.177982967 0.142546236 0.143596
OCT 0.105870234 0.084902749 0.086019
NOV 0.113789231 0.087302308 0.115603
DEC 0.059480304 0.080839854 0.056475
JAN 0.072436806 0.045295125 0.052358
FEB 0.110346312 0.204935255 0.067931
0
0.1
0.2
0.3
0.4
0.5
0.6
0 0.1 0.2 0.3 0.4 0.5 0.6
MIDW VS PV
MIDW VS PV
Linear (MIDW VS PV)
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0 0.1 0.2 0.3 0.4
MIDW VS FC
MIDW VS FC
Linear (MIDW VS FC)
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
0 5 10 15
PV FC and MIDW Averages
PV Average
FC Average
MIDW Average
0
0.05
0.1
0.15
0.2
0.25
0 2 4 6 8 10 12 14
Standard Deviation
PV Stdev
FC stedv
MIDW Stdev
6. PV FC MIDW PV FC MIDW
Average Average Average Standard Deviation
JAN 43.04014358 43.48532258 45.07472 11.83292 20.50996 12.68514
FEB 44.32667029 44.32677419 45.9086 13.23946 21.95376 15.69478
MAR 43.25579896 39.5365625 41.42555 14.49185 22.91523 13.6224
APR 44.40383591 42.73625 41.74011 14.27255 26.2877 18.17298
MAY 43.82986156 44.68486559 42.27312 11.26427 25.04803 15.93301
JUN 45.71280265 49.34551724 43.66264 12.13688 29.52992 15.05143
JUL 56.91584407 56.47923387 54.98881 21.86124 33.78888 24.10534
AUG 50.38329355 48.950625 48.46146 14.95704 22.23456 17.87523
SEP 45.87402916 42.3925 42.2055 17.03828 15.9418 16.5586
OCT 45.7653145 38.69701868 42.57654 18.70446 15.3801 16.4813
NOV 41.99280078 37.1718287 43.19878 11.73588 14.66366 12.43948
DEC 47.75800088 42.5208701 51.73776 19.59962 17.43209 21.08773