Ben Sigrin

I'm fascinated by the promise of #AI for a #cleanenergy future. @GridBeyond Senior Product Manager. Former @NREL. All opinions my own.

[Ben Sigrin @bsigrin]

🚨 New paper alert! 🚨

The Solar Influencer Next Door: Predicting Low-Income Referrals and Lost Leads
w/ @_ashok7, and @TomeEmma

Read the paper for free: https://t.co/XY8q2ejWcU

#EnergyTwitter; #solarenergy ; #EnergyTransition
(1/)

[Veritone @veritoneinc]

The #energy sector needs solutions to make #GreenEnergy more predictable, #reliable, and cost-effective. AI is the answer: https://t.co/ahweoZcFwr

[Ben Sigrin @bsigrin]

Off to a strong start! Next up: how well will it perform during the critical summer peak periods?

[Veritone @veritoneinc]

Veritone's Energy Demand Forecaster outperformed California Independent System Operator (CAISO) by 31% during November 2021!

Increased forecast accuracy has the potential to save millions for consumers and #Energy market participants.

Learn more: https://t.co/dfoKhNh3Ru

[Ben Sigrin @bsigrin]

Excited to announce that that I've joined @Veritone Energy as their Dir. of Product and Engineering. Thanks to @NREL and @eeregov for a wild & awesome last 8.5 yrs.

There is an ongoing and urgent need for power system transformation and #AI is a key part of that solution.

[Ben Sigrin @bsigrin]

You love to see it.

[Ben Sigrin @bsigrin]

Though ML models can lower costs their value is tricky, i.e. preferencing one demographic group over another. Ensuring equitable access to the benefits of decarbonization requires both a careful consideration of the promise of data-driven methods, but also their fair application.

[Ben Sigrin @bsigrin]

🚨 New paper alert! 🚨

The Solar Influencer Next Door: Predicting Low-Income Referrals and Lost Leads
w/ @_ashok7, and @TomeEmma

Read the paper for free: https://t.co/XY8q2ejWcU

#EnergyTwitter; #solarenergy ; #EnergyTransition
(1/)

[Ben Sigrin @bsigrin]

#5: Lost leads are predicted by peer effects

Many features are proxies for spatial peer effects (# of referrers, # of low-income or market-rate solar installations nearby, though referrers again are the the most sig. variable. Household and environmental variables were also sig.

[Ben Sigrin @bsigrin]

@ElectrifyBloom Woah, how cool! Must be satisfying to start out modeling these things and then actually deploy them.

[Ben Sigrin @bsigrin]

@tgreames The most important issues seem to never have simple answers. The embedded energy in natural gas as a heating source is... sobering.

[Ben Sigrin @bsigrin]

What a journey! dGen won a 2021 @RD100Awards for software #innovation! 🥂Thank you to everyone who has supported dGen over the years—from a spreadsheet in 2016 to the open-source tool today. Learn about @NREL’s award-winning technologies: https://t.co/ZdXMVdfeNa

[Ben Sigrin @bsigrin]

🚨@NREL’s dGen model is a finalist for the 2021 #RD100 awards! 🚨 Congratulations to all the incredible nominees and our fellow @RD100Awards finalists.

Folks, I don't have a tuxedo. Maybe I can attend with a clean polo and my favorite pocket protector?

[R&D 100 Awards @RD100Awards]

Finalists for the 2021 R&D 100 Awards have been announced! A sincere congratulations from our whole staff to all of the Finalists! https://t.co/SelOMRBuYN

[Ben Sigrin @bsigrin]

@davidjstier @nicomeo @davidjstier so great to hear from you! Looks like a great product. I’m curious abt when models are robust enough to consider “skipping” a low propensity home. eg predict neighborhoods vs consumers. Have heard that simply # of existing adopters can be predictive enough. thoughts?

[Ben Sigrin @bsigrin]

@RobertFares There’s nothing boring about efficient and responsible energy use

[Ben Sigrin @bsigrin]

This was a fun study.

[NREL ESIF @ESIFlabs]

A team of @NREL analysts who run the open-source Distributed Generation Market Demand (dGen™) model customized it in a novel way to support the @OUCreliableone as the city targets 100% #cleanenergy by 2050. Read more in our #ESINewsletter: https://t.co/06QA0Z2vWZ