White Paper


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Gautam Aggarwal's picture
CMO Bidgely

Gautam is the Chief Marketing Officer at Bidgely. Prior to Bidgely, Gautam was CMO at NSS Labs, a data-driven cyber security company. In his 25+ years of rich strategic and business experience in...

  • Member since 2019
  • 3 items added with 3,248 views
  • Nov 5, 2019 11:00 pm GMT

This item is part of the Special Issue - 2019-11 - Artificial Intelligence, click here for more

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The goal of this report is to describe and provide examples as to how AMI data analysis can support utilities across core operational use cases. Download this insightful report today.

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Matt Chester's picture
Matt Chester on Nov 5, 2019

It will be a long time until EVs constitute the majority of cars on the road. Until that time, utilities will face the problem that programs marketing EV-related products and services aren’t relevant for the majority of their customers who do not yet own an EV.

This is an interesting point, but perhaps as utilities start to see EVs in homes as an asset rather than a liability thanks to peak shifting and portable storage, they'll be able to market to EV owners and non-owners in a way that will encourage more people to drop traditional gasoline cars. Is that feasible, or will utilities still be wary to not ostracize non-EV customers?

Sophia Wen's picture
Sophia Wen on Nov 6, 2019

Hey Matt,

Since EV adoption is slowly growing and hasn't caused capacity issues (yet) we're already seeing utilities marketing to EV owners specificlly to get on TOU rates and to non-owners to adopt EVs through their marketplace, some are even offering EV rebates on top of the state ones. So you're definately on to something. Segmented messaging will go a long way by seperating owners from non-owners which technologies like Bidgely can help do. 

Let me know if you want to learn more 

Jason Price's picture
Jason Price on Dec 12, 2019

I found the Whitepaper extremely helpful and covered a broad range of topics. My interest and question is with the section on TOU. Since the paper focused on residential and the analytics provide a great baseline, what has been seen to be the most popular and common next steps by residential owners on improving/reducing energy demand? Do they target efficiency, replace HVAC,  shut down the pool (I am joking) but what actions from residential owners tend to target next from the assessment? Data is great but what actions do they motivate for change? Thanks!

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