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
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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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