Environmental Engineering Reference
In-Depth Information
Pumped load factor.
Sample period: 1998:01
2013:08,
i.e. 188 monthly
-
observations Tables A.7 and A.8 .
Table A.7 OLS estimates of pumped load seasonality
Coef cient
t-ratio
d(1)
0.00150627
3.7567
d(2)
0.0012892
5.5566
d(3)
0.00827051
13.3275
d(4)
0.0123687
10.2670
d(5)
0.00954283
8.4641
d(6)
0.00018299
0.1880
d(7)
0.00347042
2.8817
d(8)
0.000364568
1.3049
d(9)
0.00139669
1.2297
d(10)
0.000694149
0.7116
d(11)
0.000860186
1.8030
d(12)
0.0118433
10.5627
Table A.8 Regression analysis statistics
Mean-dependent var
S.D.-dependent var
0.000053
0.007214
Sum squared resid
S.E. of regression
0.002323
0.003633
R-squared
Adjusted R-squared
0.761330
0.746413
F(12, 176)
P-value(F)
62.45414
6.75e-57
Log-likelihood
Akaike criterion
795.5788
1567.158
Schwarz criterion
Hannan-Quinn
1528.320
1551.422
Rho
Durbin-Watson
0.152526
2.304938
Average pumped load factor:
0.0845. Pumped load volatility: 0.4660.
References
1. Abadie LM, Chamorro JM (2008) European CO 2 prices and carbon capture investments.
Energy Econ 30(6):2992 - 3015
2. Arnesano M, Carlucci AP, Laforgia D (2012) Extension of portfolio theory application to
energy planning problem the Italian case. Energy 39:112 - 124
3. Awerbuch S (2000) Investing in photovoltaics: Risk, accounting and the value of new
technology. Energy Policy 28:1023 - 1035
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