This document provides an overview and agenda for the Dutch Smart Metering Forum. It summarizes the work of ONZO, a company that uses smart meter and other data to provide utilities insights into customer energy usage and engagement solutions. ONZO's technology can identify individual appliances and analyze lifestyle and behavioral patterns to develop customer profiles. These profiles can then help utilities optimize tariffs, target specific product and service offerings, and affect demand response. The benefits for utilities include reducing costs, improving marketing and customer engagement, and increasing revenue opportunities.
2. • ONZO Overview
• ONZO’s Technology – Load disaggregation
• Live ONZO Customers
• Sample Use Cases
Agenda
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3. • Meet regulatory targets
• Network reliability
• Growth in distributed
resources
• High cost to serve
• Growth in electric vehicles
• Accelerating meter
rollout
• Value from smart
investment
• New market entrants
disrupting the
established few
Netherlands Specific:
• Smart metering hasn’t
delivered target
reductions of 3.5%
• Customers have to
mandate the use of 15
minute data
• Smart meter data for
all mandated
customers being made
available to all retailers
• Very high customer churn (up to 40% p.a.)
• Progressive utility models (e.g. free energy
provision, pay for enhanced service) drive
competition
We understand the key market challenges….
Consistent drivers….
• The need to deliver value in return for a smart meter
• Digitisation of the customer relationship
• Understand residential consumption and influencing customer behaviour
4. Help the utility to understand and service their customers better by Digitising the
relationship…
By analysing their energy use signature, we build an individual profile of each and every
customer that we tag with the key characteristics that we identify.
Once we’ve created this characterised data set, ONZO’s solutions are focussed in 2 areas:
ONZO Insights – enables utilities to reduce cost to serve and enable new revenue
streams.
• identify behavioural, attitudinal and lifestyle characteristics, and specific
appliance usage
• the utility can then use these ‘tags’ to segment the customer base into useful
categories for marketing or operational improvement
ONZO Engagement- allow utility customers to take control of their energy use and the
utility to become trusted advisor.
• build better relationships
• provide valuable information and education
• ultimately attract new and retain existing customers
ONZO has a Cloud based platform that’s easy to deploy
What do ONZO do? Other Sources of Meta Data + Smart Meter Data
Unite
Platform
Output: Insight | Output: Engagement
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6. Survey
Data
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Insights – P1 Customer Profile
P1 Dongle /
CAD data
Vacations
Routines
Weekday
Sub-day readings (1-10
seconds)
Appliances
House
Comparisons
Washing
Machine
Demographic
In-Efficient
Insights
Claimed Data
Neighbours
Weekend
Yesterday
EV
Solar Panels
Fridge
Heating Own a smart thermostat
Have a hot water tank
High heat loss
Only EV owner in street
Washing Machine used 3x average
No long weekends away
Holidays match the school calendar
2 week holiday every August
Out every day 8am – 4pm
Typically: Wake up @6am
Typically: Go to bed @11pm
Out most Saturdays
Typically: Wake up @7am
Typically out Sat & Sun
9am – 5pmActive overnight
At home during the day
Dishwasher
Oven
On average used 6 times per
week
Typically used 4 times at weekend
Never used on Thursdays
Max cooking 30mins Mon-
Fri
Not used for Sunday roasts
Charged
every 3 days
£300 potential saving per year
£150 current saving
per year
Do not own a dishwasher
Own an EV
8. ONZO’s Technology
…meaning each
object within the
environment can be
identified
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Deep Learning and Artificial
Intelligence (AI) was a key
enabler for self-driving cars…
using image recognition to
recognise shapes…
9. Dishwasher Washing
Machine
Oven
Load Disaggregation
Appliances have
unique signatures
that can be learned
by humans, and by
an Artificial
Intelligence!
Load Disaggregation
enables us to provide
a whole bill
breakdown and split
down appliance
categories
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10. ONZO uses a range of techniques
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Energy Breakdown
With Smart meter data, it is possible to break household
consumption down into usage by typical activities
Lifestyle Analytics
With Smart electricity data, it is possible to understand
characteristics of the homes’ lifestyle through how they
use energy
Behavioural Analytics
With Smart meter electricity data, it is possible to
understand the behaviours which underline
homes’ use of energy
Load disaggregation is
just one of the
techniques that
ONZO uses to deliver
a broad range of
solutions.
Appliance detection is
combined with
Lifestyle and
Behavioural analytics
to maximize the
Insights that can be
derived from smart
meter data.
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Battery and Solar
Battery charging
from economy 7
Battery reduces
morning peak Battery charging
from solar
Solar reduces
mid-day peak
Battery reduces
evening peak
Optimizing battery control
laws to maximise use of
available solar generation
1) Optimising on a per
household basis, use of
solar & storage
2) Recommend the solar /
storage installations that
suit each home and their
use of energy
3) Recommend the use of
solar/ storage that can
benefit the wider network
14. 14
Identifying homes with Electric Vehicles
Typical Insights:
• Identify homes who have
an EV
• How often and for how
long it is charged
• What type of charger is
used
15. 15
Identifying homes with Solar
Typical Insights:
• Identify homes who have
solar
• Target for specific
products & services
• Identifying suitable
homes where battery
storage yields the
greatest benefit
• Calculate solar
generation just from P1
data.
16. 16
Identifying homes with HVAC
Typical Insights:
• Identify homes who have
Heating / Ventilation / Air
Conditioning
• Target for specific
products & services
• Target for demand
response programmes
17. 17
Tariff Optimisation
Typical Insights:
• Who would benefit from
a Time of Use tariff based
upon their energy profile
• Who would benefit by
also changing their
behaviour
18. 18
Tariff Optimisation
Segment customers to
receive specific messaging:
• Change tariff only
• Change tariff &
behaviour
• Change behaviour only
• No change – good news
story
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In Summary…
Benefits for the customer:
• Take control over their expenditure
• Understand how their bill is made up
• Maximise savings opportunity
• Personalised service based upon their
own usage
• Know how their energy consumption
compares with their peers
• Quantifiable savings
Benefits for the Utility:
• Become a trusted advisor
• Create positive customer engagement
• Reduce operational costs
• Increase marketing efficiency
• Increase revenue opportunities
• Increase smart meter take up
• Affect demand response
20. 20
Thank you. Any questions?
Ian Perry
ian.perry@onzo.com
+44 7917 758857
www.onzo.com