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Short-Term Energy Outlook

Electricity Model Regression Results


Table

  1. TDLOFUS - Transmission and Distribution Losses/Total Demand
  2. ESOTPUSQ - "Other" Electricity Demand
  3. WWEOPUS - Electricity Generated by Wood and Waste
  4. ESRCPUSQ - Residential Electricity Demand Share
  5. ESCMPUSQ - Commercial Electricity Demand Share
  6. GEEOPUS - Electricity Generated by Geothermal Power
  7. WNEOPUS - Electricity Generated by Wind, Solar, and Other
  8. ESICPUS - Industrial Electricity Demand
  9. CLEOPUSX - Electricity Generated by Coal
  10. NGEOPUSX - Electricity Generated by Natural Gas

Related Electricity Model Documentation


Table 1. TDLOFUS (Ratio - unitless)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
TDLOFUS 14 204 0.05867 0.0002876 0.01696 0.8172 0.8055 1.978
ParameterEstimateApprox. Std. Err.'T' RatioLabel
PTND_01 -0.117982 0.0041599 -28.4 Constant coefficient
PTND_17 0.008384 0.0020218 4.15 D89ON
PTND_06 0.027174 0.0059959 4.53 JAN = 1 if January, 0 otherwise
PTND_07 0.087132 0.0055772 15.6 FEB = 1 if February, 0 otherwise
PTND_08 0.026833 0.0057110 4.70 MAR = 1 if March, 0 otherwise
PTND_09 0.049169 0.0057041 8.62 APR = 1 if April, 0 otherwise
PTND_10 -0.010445 0.0057052 -1.83 MAY = 1 if May, 0 otherwise
PTND_11 -0.006268 0.0057051 -1.10 JUN = 1 if June, 0 otherwise
PTND_12 -0.010095 0.0057053 -1.77 JUL = 1 if July, 0 otherwise
PTND_13 0.016875 0.0057041 2.96 AUG = 1 if August, 0 otherwise
PTND_14 0.097022 0.0057126 17.0 SEP = 1 if September, 0 otherwise
PTND_15 0.044954 0.0056505 7.96 OCT = 1 if October, 0 otherwise
PTND_16 0.020316 0.0060859 3.34 NOV = 1 if November, 0 otherwise
TDLOFUS_L1 -0.138013 0.0694200 -1.99 1st-order autocorrelation correction parameter
Method of estimation: OLS with 1st-order autocorrelation correction
Estimation period: January 1980 through February 1998


Table 2. "Other" Electricity Demand, ESOTPUSQ (billion kilowatthours per day per real $GDP)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
ESOTPUSQ 14 168 0.0003259 1.93974E-06 0.0013927 0.8315 0.8185 2.424
ParameterEstimateApprox. Std. Err.'T' RatioLabel
ESOT_01 0.042254 0.0009033 46.8 Constant coefficient
ESOT_D1 -0.002870 0.0010046 -2.86 D90ON
ESOT_06 0.001257 0.0003517 3.57 JAN = 1 if January, 0 otherwise
ESOT_07 0.003184 0.0004612 6.90 FEB = 1 if February, 0 otherwise
ESOT_08 -0.000945 0.0005344 -1.77 MAR = 1 if March, 0 otherwise
ESOT_09 -0.001031 0.0005797 -1.78 APR = 1 if April, 0 otherwise
ESOT_10 -0.001300 0.0006046 -2.15 MAY = 1 if May, 0 otherwise
ESOT_11 0.001673 0.0006125 2.73 JUN = 1 if June, 0 otherwise
ESOT_12 0.002469 0.0006044 4.08 JUL = 1 if July, 0 otherwise
ESOT_13 0.002671 0.0005796 4.61 AUG = 1 if August, 0 otherwise
ESOT_14 0.003468 0.0005350 6.48 SEP = 1 if September, 0 otherwise
ESOT_15 0.0000535 0.0004638 0.12 OCT = 1 if October, 0 otherwise
ESOT_16 0.0000764 0.0003472 0.22 NOV = 1 if November, 0 otherwise
ESOTPUSQ_L1 0.854837 0.0435200 19.6 1st-order autocorrelation correction parameter
Method of estimation: OLS with 1st-order autocorrelation correction
Estimation period: January 1983 through February 1998


Table 3. Electricity Generated by Wood and Waste, WWEOPUS (billion kilowatthours per day)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
WWEOPUS 14 144 0.0000348 2.41568E-07 0.0004915 0.7630 0.7416 2.094
ParameterEstimateApprox. Std. Err.'T' RatioLabel
WWEO_01 0.004694 0.0002681 17.5 Constant coefficient
WWEO_D1 0.000825 0.0002931 2.81 D90ON
WWEO_06 -0.000166 0.0001454 -1.14 JAN = 1 if January, 0 otherwise
WWEO_07 -0.000371 0.0001877 -1.98 FEB = 1 if February, 0 otherwise
WWEO_08 -0.000488 0.0002152 -2.27 MAR = 1 if March, 0 otherwise
WWEO_09 -0.000735 0.0002312 -3.18 APR = 1 if April, 0 otherwise
WWEO_10 -0.000980 0.0002396 -4.09 MAY = 1 if May, 0 otherwise
WWEO_11 -0.000495 0.0002422 -2.04 JUN = 1 if June, 0 otherwise
WWEO_12 -0.000202 0.0002394 -0.84 JUL = 1 if July, 0 otherwise
WWEO_13 0.000136 0.0002310 0.59 AUG = 1 if August, 0 otherwise
WWEO_14 0.00000885 0.0002155 0.04 SEP = 1 if September, 0 otherwise
WWEO_15 0.0000571 0.0001895 0.30 OCT = 1 if October, 0 otherwise
WWEO_16 0.0000493 0.0001445 0.34 NOV = 1 if November, 0 otherwise
WWEOPUS_L1 0.749697 0.0578100 13.0 1st-order autocorrelation correction parameter
Method of estimation: OLS with 1st-order autocorrelation correction
Estimation period: January 1985 through February 1998


Table 4. Residential Electricity Demand, ESRCPUSQ (Billion kilowatt-hours/day/household)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
ESRCPUSQ 19 115 0.0000368 3.20163E-07 0.0005658 0.9779 0.9744 1.917
ParameterEstimateApprox. Std. Err.'T' RatioLabel
ESRC_01 0.021193 0.0004819 44.0 Constant coefficient
ESRC_03 0.000208 0.0000293 7.11 ZWHDPUS*(OCT...APR)
ESRC_04 0.000889 0.0001022 8.70 ZWCDPUS*(MAY...SEP)
ESRC_031 0.000202 0.0000295 6.83 LAG(ZWHD*(OCT...APR))
ESRC_041 0.000552 0.0001022 5.41 LAG(ZWCD*(MAY...SEP))
ESRC_05W 0.0000210 0.00000209 10.1 Winter Trend
ESRC_05S 0.0000309 0.00000258 12.0 Summer trend
ESRC_06 0.004011 0.0002211 18.1 JAN = 1 if January, 0 otherwise
ESRC_07 0.002926 0.0002555 11.45 FEB = 1 if February, 0 otherwise
ESRC_08 -0.001676 0.0002561 -6.54 MAR = 1 if March, 0 otherwise
ESRC_09 -0.004277 0.0002519 -17.0 APR = 1 if April, 0 otherwise
ESRC_10 -0.007861 0.0007007 -11.2 MAY = 1 if May, 0 otherwise
ESRC_11 -0.003616 0.0007064 -5.12 JUN = 1 if June, 0 otherwise
ESRC_12 0.000951 0.0007106 1.34 JUL = 1 if July, 0 otherwise
ESRC_13 0.001254 0.0007111 1.76 AUG = 1 if August, 0 otherwise
ESRC_14 -0.001211 0.0007081 -1.71 SEP = 1 if September, 0 otherwise
ESRC_15 -0.004379 0.0002426 -18.0 OCT = 1 if October, 0 otherwise
ESRC_16 -0.003945 0.0002163 -18.2 NOV = 1 if November, 0 otherwise
ESRCPUSQ_L1 0.268438 0.09038 2.97 1st-order autocorrelation correction parameter
Method of estimation: OLS with 1st-order autocorrelation correction
Estimation period: January 1987 through February 1998


Table 5. Commercial Electricity Demand, ESCMPUSQ (Billion kilowatt-hours/day/employee)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
ESCMPUSQ 19 115 0.0000116 1.01289E-07 0.0003183 0.9840 0.9815 2.053
ParameterEstimateApprox. Std. Err.'T' RatioLabel
ESCM_01 0.015073 0.00148 10.2 Constant coefficient
ESCM_02L 0.000103 0.0000143 7.23 TIME = 1 to n, where n = number of observation (LINEAR)
ESCM_02Q -0.000000201 0.000000034 -5.98 TIME = 1 to n, where n = number of observation (QUADRATIC)
ESCM_04 0.0000889 0.0000164 5.43 ZWHDPUS*(OCT...APR)
ESCM_041 0.0000497 0.0000164 3.02 LAG(ZWHD*(OCT...APR))
ESCM_05 0.000486 0.0000572 8.49 ZWCDPUS*(MAY...SEP)
ESCM_051 0.000139 0.0000572 2.44 LAG(ZWCD*(MAY...SEP))
ESCM_06 0.001114 0.0001198 9.30 JAN = 1 if January, 0 otherwise
ESCM_07 0.002091 0.0001443 14.5 FEB = 1 if February, 0 otherwise
ESCM_08 -0.000602 0.0001476 -4.08 MAR = 1 if March, 0 otherwise
ESCM_09 -0.000710 0.0001469 -4.83 APR = 1 if April, 0 otherwise
ESCM_10 -0.000617 0.0001472 -4.19 MAY = 1 if May, 0 otherwise
ESCM_11 0.003254 0.0001486 21.9 JUN = 1 if June, 0 otherwise
ESCM_12 0.004776 0.0001492 32.0 JUL = 1 if July, 0 otherwise
ESCM_13 0.004978 0.0001476 33.7 AUG = 1 if August, 0 otherwise
ESCM_14 0.004357 0.0001439 30.3 SEP = 1 if September, 0 otherwise
ESCM_15 0.000751 0.0001363 5.51 OCT = 1 if October, 0 otherwise
ESCM_16 -0.000260 0.0001159 -2.24 NOV = 1 if November, 0 otherwise
ESCMPUSQ_L1 0.398874 0.08585 4.65 1st-order autocorrelation correction parameter
Method of estimation: OLS with 1st-order autocorrelation correction
Estimation period: January 1987 through February 1998


Table 6. Electricity Generated by Geothermal Power, GEEOPUS (billion kilowatthours per day)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
GEEOPUS 3 131 0.0004027 3.07399E-06 0.0017533 0.9027 0.9012 2.101
ParameterEstimateApprox. Std. Err.'T' RatioLabel
GEEO_01 -2.558274 0.11737 -21.8 Constant coefficient
GEEO_02 -0.006276 0.0005890 -10.6 TIME = 1 to n, where n = number of observation
GEEOPUS_L1 0.666502 0.06429 10.4 1st-order autocorrelation correction parameter
Method of estimation: OLS with 1st-order autocorrelation correction
Estimation period: January 1987 through February 1998


Table 7. Electricity Generated by Wind, Solar, and Other, WNEOPUS (billion kilowatthours per day)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
WNEOPUS 14 60 2.39245E-09 3.9874E-11 6.3146E-06 0.9300 0.9148 2.347
ParameterEstimateApprox. Std. Err.'T' RatioLabel
WNEO_01 0.00000571 0.00000317 1.80 Constant coefficient
WNEO_D1 8.04504 6.57244 1.22 D9505ON
WNEO_06 -0.000000008 0.000000411 -0.02 JAN = 1 if January, 0 otherwise
WNEO_07 0.000000384 0.000000622 0.62 FEB = 1 if February, 0 otherwise
WNEO_08 0.00000175 0.00000149 1.18 MAR = 1 if March, 0 otherwise
WNEO_09 0.00000357 0.00000275 1.29 APR = 1 if April, 0 otherwise
WNEO_10 0.00000487 0.00000370 1.32 MAY = 1 if May, 0 otherwise
WNEO_11 0.00000610 0.00000456 1.34 JUN = 1 if June, 0 otherwise
WNEO_12 0.00000667 0.00000496 1.35 JUL = 1 if July, 0 otherwise
WNEO_13 0.00000550 0.00000410 1.34 AUG = 1 if August, 0 otherwise
WNEO_14 0.00000436 0.00000327 1.33 SEP = 1 if September, 0 otherwise
WNEO_15 0.00000241 0.00000187 1.29 OCT = 1 if October, 0 otherwise
WNEO_16 0.000000483 0.000000559 0.86 NOV = 1 if November, 0 otherwise
WNEOPUS_L1 0.758753 0.08616 8.81 1st-order autocorrelation correction parameter
Method of estimation: OLS with 1st-order autocorrelation correction
Estimation period: January 1992 through February 1998


Table 8. Industrial Electricity Demand, ESICPUS (billion kilowatthours per day)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
ESICPUS 18 80 0.05203 0.0006503 0.02550 0.9699 0.9635 1.511
ParameterEstimateApprox. Std. Err.'T' RatioLabel
ESIC_01 1.434574 0.06774 21.2 Constant coefficient
ESIC_Q 0.569114 0.07018 8.11 ZOMNIUS
ESIC_Q2 0.510327 0.12640 4.04 ZO26IUS
ESIC_H1 0.004958 0.00169 2.93 HDD DEVS
ESIC_C1 0.008916 0.00519 1.72 CDD DEVS
ESIC_D1 0.031070 0.00900 3.45 D92
ESIC_D2 0.029912 0.00940 3.18 D94
ESIC_06 -0.014955 0.01251 -1.20 JAN = 1 if January, 0 otherwise
ESIC_07 0.191429 0.01252 15.3 FEB = 1 if February, 0 otherwise
ESIC_08 0.005148 0.01289 0.40 MAR = 1 if March, 0 otherwise
ESIC_09 0.067403 0.01306 5.16 APR = 1 if April, 0 otherwise
ESIC_10 0.082838 0.01302 6.36 MAY = 1 if May, 0 otherwise
ESIC_11 0.241383 0.01304 18.5 JUN = 1 if June, 0 otherwise
ESIC_12 0.152588 0.01300 11.7 JUL = 1 if July, 0 otherwise
ESIC_13 0.227527 0.01298 17.5 AUG = 1 if August, 0 otherwise
ESIC_14 0.239165 0.01297 18.4 SEP = 1 if September, 0 otherwise
ESIC_15 0.131305 0.01297 10.1 OCT = 1 if October, 0 otherwise
ESIC_16 0.111625 0.01342 8.32 NOV = 1 if November, 0 otherwise
Method of estimation: OLS
Estimation period: January 1990 through February 1998


Table 9. Electricity Generated by Coal, CLEOPUSX (billion kilowatthours per day)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
CLEOPUSX 20.5 64.5 0.10487 0.0016258 0.04032 0.9919 0.9894 1.946
ParameterEstimateApprox. Std. Err.'T' RatioLabel
CLEO_0 -0.173943 0.34074 -0.51 Constant term
CLEO_CL -0.579139 0.13077 -4.43 Coeff. of (CLEUDUS/RFEUDUS)
CLEO_NG 0.230324 0.05697 4.04 Coeff. of (NGEUDUS/RFEUDUS)
CLEO_E 0.627153 0.02499 25.09 Coeff. of ELEOPUS
CLEO_EW 0.172859 0.03305 5.23 Coeff. For incremental impact of ELEOPUS in fall/winter compared to spring/
CLEO_N -0.605199 0.08631 -7.01 Coeff. Of NUEOPUS
CLEO_H -0.521804 0.15964 -3.27 Coeff. Of HYEOPUS
CLEO_HP -0.572061 0.14345 -3.99 Coeff. Of HYEOPAC
CLEO_G -2.012668 2.46882 -0.82 Coeff. of GEEOPUS
CLEO_01 -0.016996 0.01994 -0.85 JAN = 1 if January, 0 otherwise
CLEO_02 0.000508 0.02442 0.02 FEB = 1 if February, 0 otherwise
CLEO_03 -0.045807 0.03908 -1.17 MAR = 1 if March, 0 otherwise
CLEO_04 -0.059558 0.05048 -1.18 APR = 1 if April, 0 otherwise
CLEO_05 1.159463 0.26624 4.35 MAY = 1 if May, 0 otherwise
CLEO_06 1.205182 0.27500 4.38 JUN = 1 if June, 0 otherwise
CLEO_07 1.181284 0.28013 4.22 JUL = 1 if July, 0 otherwise
CLEO_08 1.181764 0.27712 4.26 AUG = 1 if August, 0 otherwise
CLEO_09 1.184012 0.26574 4.46 SEP = 1 if September, 0 otherwise
CLEO_10 -0.065772 0.03748 -1.76 OCT = 1 if October, 0 otherwise
CLEO_11 -0.009261 0.02467 -0.38 NOV = 1 if November, 0 otherwise
CLEOPUSX_L1 0.537806 0.10566 5.09 1st-order autocorrelation correction parameter
Method of estimation: Iterated Seemingly Unrelated Regressions (SUR) with 1st-order autocorrelation correction (jointly with NGEOPUSX)
Estimation period: January 1991 through January 1998


Table 10. Electricity Generated by Natural Gas, NGEOPUSX (billion kilowatthours per day)
EquationDF ModelDF ErrorSSEMSE Root MSER-Square Adj R-SqDurbin-Watson
NGEOPUSX 20.5 64.5 0.09556 0.0014816 0.03849 0.9782 0.9716 2.042
ParameterEstimateApprox. Std. Err.'T' RatioLabel
NGEO_0 0.519723 0.30769 1.69  
NGEO_NG -0.255480 0.05393 -4.74  
NGEO_E 0.290337 0.02382 12.2  
NGEO_EW -0.197862 0.03087 -6.41  
NGEO_N -0.136031 0.08023 -1.70  
NGEO_H -0.144970 0.15049 -0.96  
NGEO_HP -0.452389 0.12875 -3.51  
NGEO_G -4.455987 2.33792 -1.91  
NGEO_01 -0.027836 0.01875 -1.48 JAN = 1 if January, 0 otherwise
NGEO_02 -0.031234 0.02239 -1.39 FEB = 1 if February, 0 otherwise
NGEO_03 0.065746 0.03648 1.80 MAR = 1 if March, 0 otherwise
NGEO_04 0.115073 0.04749 2.42 APR = 1 if April, 0 otherwise
NGEO_05 -1.305135 0.24912 -5.24 MAY = 1 if May, 0 otherwise
NGEO_06 -1.373434 0.25775 -5.33 JUN = 1 if June, 0 otherwise
NGEO_07 -1.361641 0.26263 -5.18 JUL = 1 if July, 0 otherwise
NGEO_08 -1.337162 0.25976 -5.15 AUG = 1 if August, 0 otherwise
NGEO_09 -1.329916 0.24847 -5.35 SEP = 1 if September, 0 otherwise
NGEO_10 0.146385 0.03521 4.16 OCT = 1 if October, 0 otherwise
NGEO_11 0.058146 0.02333 2.49 NOV = 1 if November, 0 otherwise
NGEOPUSX_L1 0.471363 0.11047 4.27 1st-order autocorrelation correction parameter

Method of estimation: Iterated Seemingly Unrelated Regressions (SUR) with 1st-order autocorrelation correction (jointly with CLEOPUSX)
Estimation period: January 1991 through January 1998


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