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Bi-Weekly Feature — How Connected Buildings are Re-energizing the Grid
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Bi-Weekly Feature — How Connected Buildings are Re-energizing the Grid
Good afternoon members,
This week’s feature is, “How Connected Buildings are Re-energizing the Grid”. It talks about the importance of consumer participation in energy markets to help stabilize the power system, however utilities are struggling to connect them to the energy ecosystem.
How can AI, IoT, blockchain and the cloud play a role in connecting the customer and stabilizing the power system? Read the article on utilityanalyitcs.com: How Connected Buildings are Re-energizing the Grid – Utility Analytics Institute
Utility Analytics Institute 
How Connected Buildings are Re-energizing the Grid – Utility Analytics Institute Flexible energy platforms use artificial intelligence, cloud and blockchain to help manage renewable energy usage. On May 11, the Biden administration approved the Vineyard Wind project, a major wind farm off the coast of Massachusetts capable of powering 400,000 homes and businesses. In announcing the agreement, U.S. View this on Utility Analytics Institute >
Happy reading!
Erin——————————
Erin Hardick
Senior Research Analyst
Utility Analytics Institute (UAI)
CO
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2 Replies
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Hi Samantha,
What are some of the data points available to you? At Exelon Utilities we have found speeding, harsh acceleration, and hard braking to be significant behaviors. We developed a risk score based on a combination of these factors, normalized by distance driven (so, alerts/mile). These risk scores are helping drive adoption among fleet managers as part of our safe driving program. In our telematics data, there are many different parameters for speeding (raw mph, or percent over speed limit, or raw mph over speed limit, plus a threshold of time for each, i.e. speeding at least 10 mph over the speed limit for at least 2 minutes). There are also parameters we can set for what triggers a harsh acceleration or hard braking alert. We started with correlation analysis and looking at distributions of alerts to get an idea of overall behavior.
Hope this helps!
Cara Gilad
Sr Data Scientist, Grid Analytics
Exelon Utilities——————————
Cara Gilad
Data Scientist
Exelon
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Original Message:
Sent: 07-07-2021 14:59
From: Samantha Perez
Subject: Telematics & Safe Driving ProgramHi All,
We are implementing Telematics in our fleet vehicles. Is anyone using this technology and data to improve your Safe Driving Program?
We are curious to know what data parameters or approaches are used by other utilities to measure good (or needs improvement) driving behaviors. For example, our Integrated Security team uses phishing email campaigns to identify employees that need refresh training on security best practices. Wondering if others are using telematics to customize Safe Driving training in such ways.
Thank you!
Samantha Perez
CPS Energy Fleet
San Antonio, TX——————————
Samantha Perez
Manager, Fleet & Safety Informatics
CPS Energy
San Antonio TX
2103532061
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Thanks for the great summary Cara!
@Samantha the Exelon team led a great presentation on “Driver Safety” in the Safety Analytics Community back in September. To access the presentation please click HERE and let me know if I can help connect with you any of our presenters.
If anyone else is interested in this topic and not part of the Safety Analytics Community I recommend joining using our “community request to join form.”
Thanks!
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Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
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Original Message:
Sent: 07-08-2021 10:13
From: Cara Gilad
Subject: Telematics & Safe Driving ProgramHi Samantha,
What are some of the data points available to you? At Exelon Utilities we have found speeding, harsh acceleration, and hard braking to be significant behaviors. We developed a risk score based on a combination of these factors, normalized by distance driven (so, alerts/mile). These risk scores are helping drive adoption among fleet managers as part of our safe driving program. In our telematics data, there are many different parameters for speeding (raw mph, or percent over speed limit, or raw mph over speed limit, plus a threshold of time for each, i.e. speeding at least 10 mph over the speed limit for at least 2 minutes). There are also parameters we can set for what triggers a harsh acceleration or hard braking alert. We started with correlation analysis and looking at distributions of alerts to get an idea of overall behavior.
Hope this helps!
Cara Gilad
Sr Data Scientist, Grid Analytics
Exelon Utilities——————————
Cara Gilad
Data Scientist
Exelon
——————————Original Message:
Sent: 07-07-2021 14:59
From: Samantha Perez
Subject: Telematics & Safe Driving ProgramHi All,
We are implementing Telematics in our fleet vehicles. Is anyone using this technology and data to improve your Safe Driving Program?
We are curious to know what data parameters or approaches are used by other utilities to measure good (or needs improvement) driving behaviors. For example, our Integrated Security team uses phishing email campaigns to identify employees that need refresh training on security best practices. Wondering if others are using telematics to customize Safe Driving training in such ways.
Thank you!
Samantha Perez
CPS Energy Fleet
San Antonio, TX——————————
Samantha Perez
Manager, Fleet & Safety Informatics
CPS Energy
San Antonio TX
2103532061
——————————
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