Forecasting
Miscellaneous Alternatives
May 09, 2021
In my previous blog “Demystifying Residential Miscellaneous Usage” I described how the miscellaneous end use is defined as a set of specific technologies and a larger “Other” category. Virtually, all the growth in miscellaneous usage is due to Other. It is the primary driver behind increasing residential electricity usage in the long-term.
Miscellaneous Other is derived by subtracting all identified end uses from total residential electric usage. In other words, it is a residual. According to the Energy Information Administration (EIA), the forecast of Other is based on real household income projections. There are no saturation or efficiency assumptions involved in developing this forecast.
In the Statistically Adjusted End-Use (SAE) framework we explicitly account for household income in the model specification. If we incorporate household income into the model structure, do we even need to include Miscellaneous Other in the model variables?
To test the impact, we first estimated residential SAE model that includes Miscellaneous Other. The resulting model parameters and forecast are shown below.
Next, we excluded Electric Other from the Miscellaneous leaving only the specific or identified end-uses and repeated the exercise. The result is depicted below.
There is a slight improvement in model fit when miscellaneous Other is dropped from the model. The standard error falls from 33.34 to 32.93 and in-sample MAPE falls from 2.77% to 2.70%. But the most significant difference is that the negative shift variable in the model (Aft15 – years after 2015) turns positive and statistically insignificant. This suggests that the negative shift variable is only compensating for the increase in Miscellaneous Other usage. The long-term average use forecast is slightly lower without Miscellaneous Other.
Starting with the 2021 SAE files, we will separate specific Miscellaneous end-uses from the Other Miscellaneous end-use. We encourage our Energy Forecasting Group (EFG) members to evaluate their forecast models with and without the Other Miscellaneous end use. If you would like to learn more about the EFG or long-term forecasting, we encourage to visit Itron’s forecasting website or contact us at forecasting@itron.com.
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Tip: It's the step after the last dot that caused this error, not those before it.
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Tip: If the failing expression is known to legally refer to something that's sometimes null or missing, either specify a default value like myOptionalVar!myDefault, or use <#if myOptionalVar??>when-present<#else>when-missing</#if>. (These only cover the last step of the expression; to cover the whole expression, use parenthesis: (myOptionalVar.foo)!myDefault, (myOptionalVar.foo)??
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