Forecasting

Lessons Learned from Itron’s 13th Annual Energy Forecasting Meeting

May 14, 2015

I just returned from Itron’s 13th Annual Energy Forecasting Meeting & Training, which took place in Baltimore on May 6 and 7, 2015.  A total of 57 attendees participated from 42 companies.  For the two days, Baltimore treated us with outstanding hospitality and a beauty hidden from recent media reports.

The 14 presentations and two roundtable sessions offered many issues to consider, including economic and growth trends, changing and future efficiency standards, photovoltaic impacts, alternative economic drivers, peak forecasting methods, weather normalization with extreme weather modeling techniques, and forecast process management.  There were so many issues, that I’m still thinking about a few of them.

Instead of recapping all the presentations, I am highlighting a few things I learned this past week.
  • Richard Lynch, manager of sales and forecasting at Entergy Corp., I learned that going to my “Happy Place” is a reasonable way to deal with the significant risks facing the economy.  If this is too cryptic, I’ll explain.  Richard covered the unintended consequences of Quantitative Easing (QE) as it relates to past and future growth.  The presentation highlighted the past impacts of QE on housing, jobs and GDP growth as well as highlighted the ongoing major threats to the economy.  While there is reason to be optimistic, uncertainty abounds, and if you can’t handle the uncertainty, you can always hide in a “Happy Place.”
  • Erin Boedecker and Kevin Jarzomski from the U.S. Energy Information Administration (EIA) presented the key assumptions behind the 2015 Annual Energy Outlook (AEO).  The assumptions included changes in energy efficiency modeling from the 2014 AEO.  This presentation was followed by John Cymbalsky, U.S. Department of Energy (DOE), explaining the energy efficiency standard adoption process.  Between the EIA assumptions and DOE future standards, I’m certain that the downward trend in average use will continue.
  • Finally, I appreciated the candid discussion of the difficulties in forecasting and model analysis from CPS Energy’s Matt Croucher, Entergy’s Rae Anne Dodd and the New York Independent System Operator’s Arvind Jaggi.  These presenters highlighted potential sources of new data, the challenge of weather normalizing extreme data and potential new model drivers.  I plan on exploring these ideas as I work with individual clients in the coming year.

As I mentioned before, there were numerous other presentations and issues from this past week.  When you get a chance, submit a comment to this blog and tell us something you learned.  In the meantime, I’ll be in my happy place - San Diego.

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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