Journal of Energy Markets

Risk.net

Estimating marginal effects of key factors that influence wholesale electricity demand and price distributions in Texas via quantile variable selection methods

Tahir Ekin, Paul Damien and Jay Zarnikau

Understanding the key drivers of prices and energy consumption is an important issue, which is complicated because the distributions of prices and consumption are asymmetric and fat-tailed. That is, the sets of relevant covariates can vary depending on the segment of interest in the conditional distributions of price and demand. Using a large data set from the Electric Reliability Council of Texas, this study uses quantile regressions and attendant variable selection methods to choose the most important factors that influence demand and price distributions; subsequently, the marginal effects of these factors are studied. Among the many findings, two critical ones are that the marginal effects of the covariates change throughout the distributions of demand and price, and that the number of relevant variables selected using mean regressions generally exceeds the number selected using quantile regressions. Related consequences for maintaining a reliable electricity market are discussed.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Risk.net? View our subscription options

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here