Dutch Smart Metering Forum

January 26th 2017

• ONZO Overview

• ONZO’s Technology – Load disaggregation

• Live ONZO Customers

• Sample Use Cases

Agenda

2

• 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

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

4

ONZO Engagement solutions….

5

Survey Data

6

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 tankHigh 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

7

ONZO’s Technology…

ONZO’s Technology

…meaning each object within the environment can be identified

8

Deep Learning and Artificial Intelligence (AI) was a key enabler for self-driving cars…

using image recognition to recognise shapes…

Dishwasher WashingMachine

Oven

Load DisaggregationAppliances 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

9

ONZO uses a range of techniques

10

Energy BreakdownWith Smart meter data, it is possible to break household

consumption down into usage by typical activities

Lifestyle AnalyticsWith 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.

11

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

12

Live ONZO Customers

13

Sample Use Cases…

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

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

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

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

Tariff Optimisation

Segment customers to receive specific messaging:

• Change tariff only

• Change tariff & behaviour

• Change behaviour only

• No change – good news story

19

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

Thank you. Any questions?

Ian Perry

ian.perry@onzo.com

+44 7917 758857

www.onzo.com