ELECTRIC ENERGY | Spring 2020 - 27

While utilities are facing challenges and competition
on many fronts, they have one monumental
advantage: distributed intelligence, also known
as edge intelligence, which provides power and
control of the grid out to edge devices, rather than
concentrating power and control in the grid core.

Outage Detection: An outage detection DI app
provides more rapid and accurate identification
and location of significant outages by optimizing the use of the communication network for
outage messages during storm conditions.
Communication network statistics and location
awareness are used on each meter to select optimal bellwether meters for outage notification and
detection. During storm mode, only bellwether
meters will report outages, maximizing the likelihood that highest priority outage messages will
be received.
Load Disaggregation: A DI app for load disaggregation provides disaggregation of the whole
premise electric load into the individual electrical
appliances and loads within the premise, in the
form of time series load profiles for the individual
loads. This information can inform numerous
customer and utility operations applications
and programs.
Excess Usage: With an app focused on excess
usage identification, consumer benefits by identifying appliances with excess usage or usage
that is increasing over time. This information can
identify candidates for appliance replacement
marketing programs or identify appliances requiring maintenance.
TOU/Peak Alerts: A TOU/Peak Alerts DI app
provides consumer benefits by identifying
when high-usage appliances are active during
peak price periods and the approximate savings
achieved by curtailing appliance use during the
peak price period.
Active Demand Response: An active demand
response DI app provides high predictability and
reliability of demand response results by actively
controlling loads and generation within premises

to meet that demand response reduction targets.
Groups of meters are assigned target demand
reductions and work amongst themselves using
peer-to-peer communications to ensure that the
group target is achieved and maintained.
EV Detection: An EV detection DI app provides
detection of electrical vehicle charging at a premise and calculation of time series usage profile.
This can help multiple consumer marketing
programs aimed at providing the best possible
experience for electric vehicle owners.
Solar Disaggregation: A DI app for solar disaggregation provides detection of solar generation at a premise and calculation of time series
profile of solar generation behind the revenue
meter. This can be used for detecting illegally
connected generation, the offering of marketing
programs associated with generation, estimating generation standby requirements for cloud
cover, etc.
The capabilities of DI apps are exciting, but
what are the business value and ROI of edge
intelligence? According to research by Itron, real
ROI can be realized immediately. Here are four
application examples of the estimated value:
■	 High impedance detection: $0.96 per customer
per month
■	 Bypass theft detection: $1.99 per customer per
month
■	 Location awareness: $2.30 per customer per
month
■	 Outage detection: $3.03 per customer per
month

CREATING AN OPEN MARKET IS KEY
Every new deployment of edge intelligence in
the distribution system creates a more significant

opportunity to build an ecosystem of innovation.
Critical for exploiting the great ideas of app creators and other developers is to make the grid a
landmark new business model that encourages
innovation and ultimately delivers high value to
utility customers.
This ecosystem enablement will be critical to
ensuring rapid reactivity, continuous innovation
and opportunity creation. It will require both a
platform to support it and a business model that
encourages innovation. Utilities must welcome
innovation and will need to ensure that its ecosystem approach is enabling third-party applications
and service options.
This new model is critical to delivering more
useful information and higher-end value to
customers. And it will take the burden of app
development off the utility, allowing the utility
to place a laser focus on delivering that customer value.
In turn, the utility will be able to charge for
access and create new revenue streams because
of its renewed focus on consumers.

CONCLUSION
Distributed intelligence provides utilities and
consumers alike with the capabilities to improve
their management of energy usage. The technology is being rolled out by early-adopter utilities,
while other utilities are at the testing stage. Still,
others are at an early stage focusing on understanding the ROI of such a transformation on
energy grids.
For utility customers, arguably, the most significant advantage goes to the customer who
will play an active role in using energy wisely
and reaping the savings that come with it. 
WWW.RMEL.ORG  27


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ELECTRIC ENERGY | Spring 2020

Table of Contents for the Digital Edition of ELECTRIC ENERGY | Spring 2020

Letter from the 2019-2020 RMEL President
Letter from the Executive Director
RMEL Board of Directors
The Future of Customer Experience in the Energy Industry
Customer Experience and Target Segmentation for Utility Solutions
Data as a Tool for Utility Customers
Intelligence at the Edge: Addressing the New Challenges and New Opportunities of the Modern Grid
Tucson Electric Power Increases Customer Convenience with Personalized Tools
RMEL’s 117th Fall Executive Leadership and Management Convention is Heading to Denver
2020 Calendar of Events
Member Listings
Foundation Board of Directors List
Advertisers’ Index
ELECTRIC ENERGY | Spring 2020 - Intro
ELECTRIC ENERGY | Spring 2020 - bellyband1
ELECTRIC ENERGY | Spring 2020 - bellyband2
ELECTRIC ENERGY | Spring 2020 - cover1
ELECTRIC ENERGY | Spring 2020 - cover2
ELECTRIC ENERGY | Spring 2020 - 3
ELECTRIC ENERGY | Spring 2020 - 4
ELECTRIC ENERGY | Spring 2020 - 5
ELECTRIC ENERGY | Spring 2020 - Letter from the 2019-2020 RMEL President
ELECTRIC ENERGY | Spring 2020 - 7
ELECTRIC ENERGY | Spring 2020 - Letter from the Executive Director
ELECTRIC ENERGY | Spring 2020 - 9
ELECTRIC ENERGY | Spring 2020 - RMEL Board of Directors
ELECTRIC ENERGY | Spring 2020 - 11
ELECTRIC ENERGY | Spring 2020 - The Future of Customer Experience in the Energy Industry
ELECTRIC ENERGY | Spring 2020 - 13
ELECTRIC ENERGY | Spring 2020 - 14
ELECTRIC ENERGY | Spring 2020 - 15
ELECTRIC ENERGY | Spring 2020 - Customer Experience and Target Segmentation for Utility Solutions
ELECTRIC ENERGY | Spring 2020 - 17
ELECTRIC ENERGY | Spring 2020 - 18
ELECTRIC ENERGY | Spring 2020 - 19
ELECTRIC ENERGY | Spring 2020 - Data as a Tool for Utility Customers
ELECTRIC ENERGY | Spring 2020 - 21
ELECTRIC ENERGY | Spring 2020 - 22
ELECTRIC ENERGY | Spring 2020 - 23
ELECTRIC ENERGY | Spring 2020 - Intelligence at the Edge: Addressing the New Challenges and New Opportunities of the Modern Grid
ELECTRIC ENERGY | Spring 2020 - 25
ELECTRIC ENERGY | Spring 2020 - 26
ELECTRIC ENERGY | Spring 2020 - 27
ELECTRIC ENERGY | Spring 2020 - Tucson Electric Power Increases Customer Convenience with Personalized Tools
ELECTRIC ENERGY | Spring 2020 - 29
ELECTRIC ENERGY | Spring 2020 - 30
ELECTRIC ENERGY | Spring 2020 - 31
ELECTRIC ENERGY | Spring 2020 - RMEL’s 117th Fall Executive Leadership and Management Convention is Heading to Denver
ELECTRIC ENERGY | Spring 2020 - 33
ELECTRIC ENERGY | Spring 2020 - 34
ELECTRIC ENERGY | Spring 2020 - 2020 Calendar of Events
ELECTRIC ENERGY | Spring 2020 - Member Listings
ELECTRIC ENERGY | Spring 2020 - 37
ELECTRIC ENERGY | Spring 2020 - Advertisers’ Index
ELECTRIC ENERGY | Spring 2020 - cover3
ELECTRIC ENERGY | Spring 2020 - cover4
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