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Historical forecasts made easy

Hugo Birkelund - 8 November 2018 11:58

Acquiring a complete set of historical forecasts can be a costly and time-consuming process. We have boiled it down to three simple steps. Step 1: Find the forecasts. Step 2: Select begin- and end date and lead time. Step 3: Press enter! With that we have removed all of the tedious and costly steps.

The old-fashioned approach

Getting historical forecasts typically involves having to contact vendors, get help to identify variables, negotiate terms for additional services, wait for the delivery, wrestle with support, having almost unmanageable large files transferred to your system – where a large chunk of it will rest idle until it becomes outdated, and then, you have to do the whole procedure all over again to keep the historical forecast complete...

A too cumbersome process we thought. So we simplified it.

The Energy Quantified approach

AMan's hand using can opener to open a can of moneyssuming you have claimed your EQ access, all our forecasts are available for download as far back as we have generated them. All you need to do is:

  1. Find the forecasts you are looking for
  2. Set start- and end-date, lead time and resolution
  3. Press enter!

And of course: Instead of having to transfer the large data sets to your system for storage, you may save your search settings only. 

With the search criteria stored, you may go back and add variables you overlooked initially or maybe update your database live, via our Time series API or the Excel Integrator. This is very flexible.

How can it be that simple?

  • Self-service: You may search the variables with our Google-like search function. No need to know a complicated nomenclature. Let us know if you prefer assistance.
  • Infrastructure: We have opened up our Time series API and Excel Integrator so you easily can retrieve forecasts, with 1- to n-days lead time. Learn how with our step by step procedure.

No processing time or surcharge: Access to the full history of Energy Quantified’s forecasts, and other data, is included in our pricing.

Why do we do this? Because we can!

Numbers count.

Topics: Data integration- API- Excel- power data- "Historical forecasts"- historical data

Hugo Birkelund

Hugo Birkelund

Cofounder and CEO at Energy Quantified. He has since 1999 held various leading positions within development, marketing and sales of analysis platforms for NTE/PointCarbon and Markedskraft/MKonline. Before that he worked 10 years with research at ENRI and Statistics Norway. By education he holds a degree at the University of Oslo specializing in econometrics and mathematical economy. Hugo is the go-to person for questions related to EQ’s development, forecast models and data feed.

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Energy Quantified was founded in September 2017 with the aim of creating the most innovative data and analysis platform for the power markets. Here we will post updates on the progress of the services and descriptions of our models and features as they develop.

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