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@EIA_One

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The official account of the Administrator of the Energy Information Administration.

Washington, DC
Joined June 2022
Don't wanna be here? Send us removal request.
@EIA_One
EIA One
7 months
This account is inactive while we await the arrival of our next Administrator. Please direct any questions to @EIAgov.
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@EIA_One
EIA One
10 months
To address emerging energy issues, @EIAgov needs a next generation model that is modular, flexible, transparent, and robust. We are committed to a transparent model development process. If you’re a modeler, please consider providing feedback on this early stage prototype.
@EIAgov
EIA
10 months
We've published our BlueSky prototype—the first step in creating our next-generation model. Check out our website to find a link to the prototype and to learn how to share feedback about the overarching model framework and code implementation. ▶️
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@EIA_One
EIA One
11 months
If you have a chance to experiment with the tool, let us know how we can improve it and expand the data coverage.
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@EIA_One
EIA One
11 months
Caveats:.1. This is a python-based Dash app that runs on your local machine. We don't have a live dashboard on the website. Maybe someday. 2. We're pulling past projections from our API, which only goes back to 2015. 3. Only key market indicators are currently included.
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@EIA_One
EIA One
11 months
It's important for modelers to examine the accuracy of their past projections. Accurate past performance is no guarantee for the future, as structural elements of the system can change rapidly. But we can still learn a lot.
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@EIA_One
EIA One
11 months
In an effort to increase transparency, we have developed a python-based benchmarking tool to compare our AEO projections against real world outcomes. It includes all past cases and allows you to visualize the pathways. It's available in GitHub:
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@EIA_One
EIA One
11 months
@EIAgov already produces an AEO Retrospective: However, it largely consists of statistical estimates and only makes use of the Reference case.
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@EIA_One
EIA One
11 months
When we release the AEO, there's always plenty of discussion about the quality of our projections. Those discussions should be informed by a rigorous look at our our past performance.
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@EIA_One
EIA One
11 months
It's important to condition model insights on a careful consideration of future uncertainty. There are many ways to do this, but @EIAgov considers uncertainty through a set of cases in the AEO, each with differing assumptions about the future.
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@EIA_One
EIA One
11 months
Producing high quality long-term energy projections is hard. Uncertainty looms large, and there are inevitable surprises that our models do not capture.
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@EIA_One
EIA One
11 months
For all the long-term modelers out there: we just released an open source benchmarking tool that allows you to plot projections from past editions of the Annual Energy Outlook (AEO) against actual outcomes. Let me explain why this is important. 🧵.
@EIAgov
EIA
11 months
Meet dash-benchmark, a new open-source analytic tool on our GitHub page. Dash-benchmark allows you to visualize projection results and historical values from our Annual Energy Outlook. Check out dash-benchmark and our other open-source tools on our Github page. ⬇️.
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@EIA_One
EIA One
1 year
Update: battery electric vehicle sales represented 7.1% of the U.S. light duty vehicle market in 2Q24, about the same as last year. Today in Energy (8/26/24) 👇.
eia.gov
@EIA_One
EIA One
2 years
Battery electric vehicles (BEVs) made up 7.0% of U.S. sales last year, compared to 5.6% in 2022. Under that data are a few trends that help explain the state of the market and where it might be headed. 🧵👇.
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@EIA_One
EIA One
1 year
If you have a question or concern, of course the @EIAgov team is happy to help. You can also reach out to our electricity data folks at eiainfoelectric@eia.gov.
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@EIA_One
EIA One
1 year
That doesn’t mean our data are perfect. Our folks continuously review the reported data to address concerns about its accuracy and comprehensiveness.
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@EIA_One
EIA One
1 year
We're not more right or wrong here; it’s just a difference in accounting.
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@EIA_One
EIA One
1 year
The key point is that we’re not somehow missing large chunks of capacity. It’s either in an operational or planned phase. Our definition simply means that more capacity might show up on the right panel rather than the left relative to ERCOT or other organizations.
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@EIA_One
EIA One
1 year
We consider generators that are synchronized but not in commercial operation to be in a testing status and count them as “planned” capacity. You can find those units in the 860M under the “Planned” tab. Look for units with "TS" as their status in column U.
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@EIA_One
EIA One
1 year
On the 860M, we count capacity that is *in commercial operation* to be operational. Some organizations consider generators that have been synchronized but not yet brought into commercial operation to also be operational.
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@EIA_One
EIA One
1 year
I wouldn’t call differences in EIA / ERCOT data a “discrepancy.” We categorize capacity differently and try to make clear what we’re measuring. In the case of the EIA-860M data, you can find definitions of what we’re counting in the survey instructions:
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@EIA_One
EIA One
1 year
Thanks for bringing this issue back up, @tylerhnorris. Let’s dig in.🧵.
@tylerhnorris
Tyler Norris
1 year
@douglewinenergy @SimonMahan @mattbuford @FERC @SPGMarketIntel EIA says it doesn't include "synced-not-approved" generators, but ERCOT does in part because synchronized plants can often dispatch at full output, even if they haven't achieve full reg approval. I'm told ERCOT has had operating facilities in "synced-not-approved" category for.
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