Aug 31, 2026 · 11 min · 8 segments
https://www.buzzsprout.com/2618525/fan_mail/new Has the datacenter load growth in Virgina actually led to an increase in residential electricity prices? Or is it the coincidence of the rate…
Its regulatory environment and electricity market characteristics offer a useful contrast to Virginia.
Alabama also does not have any mandated policies or mechanisms in place for the growth of renewable energy, such as the Renewable Portfolio Standards and the Virginia Clean Economy Act.
These critical differences, along with a few others, positions Alabama well as a comparator state.
The key explanatory variables are the data center load growth, renewable energy generation, capital expenditure on transmission and investment, city gate price of natural gas, the weather variables that is, the cooling degree days, and the heating degree days.
The term residual refers to the non-fuel related factors impact on the locational marginal price, while the fuel related impact on the electricity price is captured by the city gate price.
The interaction term refers to the multiplicative effect of data center load growth and the city gate price of natural gas.
It is worth reminding that there was a freeze on the residential rate hikes from 2015 to 2020, but that freeze was lifted by the Grid Transformation and Security Act in July 2018.
This structural break caused by the lifting of the freeze is captured by the variable SCCDUMMY, which is referred to as the post-GTSA variable in the regression output.
There are a few methodological points that merit mentioning as well.
The model was subject to all the pre-modeling and the diagnostic tests, such as the stationarity, serial correlation, stability tests, heteroscedasticity tests, and the arterial bounds test.
The model performs well against each of these tests barring the normality test.
However, the normality test is not critical to the specification of the model.
Its regulatory environment and electricity market characteristics offer a useful contrast to Virginia.
Alabama also does not have any mandated policies or mechanisms in place for the growth of renewable energy, such as the Renewable Portfolio Standards and the Virginia Clean Economy Act.
These critical differences, along with a few others, positions Alabama well as a comparator state.
The key explanatory variables are the data center load growth, renewable energy generation, capital expenditure on transmission and investment, city gate price of natural gas, the weather variables that is, the cooling degree days, and the heating degree days.
The term residual refers to the non-fuel related factors impact on the locational marginal price, while the fuel related impact on the electricity price is captured by the city gate price.
The interaction term refers to the multiplicative effect of data center load growth and the city gate price of natural gas.
It is worth reminding that there was a freeze on the residential rate hikes from 2015 to 2020, but that freeze was lifted by the Grid Transformation and Security Act in July 2018.
This structural break caused by the lifting of the freeze is captured by the variable SCCDUMMY, which is referred to as the post-GTSA variable in the regression output.
There are a few methodological points that merit mentioning as well.
The model was subject to all the pre-modeling and the diagnostic tests, such as the stationarity, serial correlation, stability tests, heteroscedasticity tests, and the arterial bounds test.
The model performs well against each of these tests barring the normality test.
However, the normality test is not critical to the specification of the model.
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