Measuring Performance of Long-Term Power Generating Portfolios - Green Energy and Efficiency: An Economic Perspective - page 417

Hydro load factor. Sample period: 1998:01 2013:08, or 188 monthly observa-

-

tions. Tables A.5 and A.6 .

Table A.5 OLS estimates of hydro load seasonality
Coef cient t-ratio

d(1)

0.161759 11.7014

d(2)

0.0811138 6.8087

d(3)

0.0757758 4.6115

d(4)

0.027608 6.1159

− −

d(5)

− 0.122501 − 11.3235

d(6)

0.185731 10.8948

− −

d(7)

0.16752 13.7335

− −

d(8)

− 0.12782 − 8.8027

d(9)

− 0.0529903 − 4.6321

d(10)

0.05018 6.5314

d(11)

0.125938 16.4867

d(12)

0.163624 10.2220

Table A.6 Regression analysis statistics
Mean-dependent var S.D.-dependent var

0.003719 0.133179

−

Sum squared resid S.E. of regression

0.469528 0.051651

R-squared Adjusted R-squared

0.858549 0.849708

F(12, 176) P-value(F)

91.90841 4.00e-69

Log-likelihood Akaike criterion

296.5316 569.0632

−

Schwarz criterion Hannan-Quinn

530.2259 553.3278

− −

Rho Durbin-Watson

0.384711 1.229343

Average hydro load factor: 0.3432. Hydro load volatility: 1.1099.