Forecasting

The Economy and Electric Sales

December 20, 2016

Traditionally, the end of the year is a time to reflect and remember. So when the Federal Reserve raised interest rates in December as a vote of confidence in the economy, we should consider how this progressing economy will impact our industry. What is the relationship between the economy and electric sales? How will this relationship impact our future?  What should we remember? We are forecasters and these are the questions we ask.

Looking backward, Brian Cary from Salt River Project came to Itron’s 2011 Energy Forecasting Group Meeting in Las Vegas and presented on the state of the economy. In 2011, we were slowly recovering from the 2008 recession with unemployment hovering around 9 percent and GDP growth floating about 1.5 percent. Brian presented a version the chart below which created a buzz of conversation.

In this chart, post-1960 recessions are plotted showing the duration and percent change in non-agriculture employment from pre-recession highs (Source: U.S. Bureau of Labor Stastistics). The Y-axis, plots the employment loss from the pre-recession high. The X-axis shows the number of months from the pre-recession high. The lines show the length and depth of each recession.

newyears1

While Brian’s chart data ended in May 2011 (indicated on the graph), I completed the chart.  In 2011, the chart challenged our notions of recovery patterns and the optimism of our economic forecasts. Today, the chart shows a 76-month recovery (6 years and 4 months) with a fairly predictable pattern.

Hindsight tells us that the economic forecast through the recession were overly aggressive resulting in a series of high electric sales forecast.  But in 2011, the historic relationship between electric sales and employment was firmly entrenched in our econometric models. We did not have many alternatives.

The graph below shows the relationship between electric sales and employment plotted as indices with 2011 highlighted. Through 2009, movement in sales and employment are closely aligned. But recent history shows the relationship is slowly deteriorating -- employment continues to rise in the face of flattening electric sales.

newyears2

What have we learned? The relationship between employment and electric sales is changing. But, we are forecasters and have been watching this relationship evolve. We are no longer trapped into using only macroeconomic drivers in our models. Today, we understand the weakening relationship between electric sales and the economy (employment and GDP), the advances in energy efficiency, and the penetration of distributed generation. As we look to tomorrow, we are adapting our techniques to capture these effects which offer us better insight into the future, and a better forecast.

May all your 2017 forecasts be accurate!

By Mark Quan


Principal Forecast Consultant


Mark Quan est consultant principal en prévisions au sein de la division des prévisions d'Itron. Depuis qu'il a rejoint Itron en 1997, M. Quan s'est spécialisé dans les solutions de prévision énergétique à court et à long terme, ainsi que dans les projets de recherche sur la charge. Quan a développé et mis en œuvre plusieurs systèmes de prévision automatisés pour prédire la demande système du lendemain, les profils de charge et la consommation au détail pour des entreprises aux États-Unis et au Canada. Les solutions de prévision à court terme comprennent des systèmes pour le « Midwest Independent System Operator » (MISO) et le « California Independent System Operator » (CAISO). Les solutions de prévision à long terme comprennent le développement et le soutien des prévisions à long terme (ventes et clients) pour des clients tels que « Dairyland Power » et « Omaha Public Power District ». Ces prévisions comprennent des informations sur l'utilisation finale et les impacts de la gestion de la demande dans un cadre économétrique. Enfin, Quan a participé à la mise en œuvre de systèmes de recherche de charge, notamment chez Snohomish PUD. Avant de rejoindre Itron, Quan a travaillé dans les secteurs du gaz, de l'électricité et de l'entreprise chez Pacific Gas and Electric Company (PG&E), où il a participé à la restructuration du secteur, à la planification de l'électricité et à la planification du gaz naturel. M. Quan est titulaire d'un master en recherche opérationnelle de l'université de Stanford et d'une licence en mathématiques appliquées de l'université de Californie à Los Angeles.


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