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Electricity retailing: 
location-based 
approaches 
for 
quality customer 
experiences 
25/09/2014 
Hervé Senot 
Director, Carbon::GIS 
GIS & energy analytics
People + systems.
This presentation: 
industry, government & 
academic.
Introduction 
Electricity retailing and … 
location? Really?
Electricity generation and 
location: sure.
Source: Sustainability Victoria, Victorian Wind Atlas
Electricity distribution 
and location: fine.
Source: Seattle City Light, Vegetation Management
Electricity retailing: 
interface between users 
and the grid
Source: Herald Sun, Electricity bills give Victorians a $3000-a-year power shock (6/8/2014)
- Act I - 
The customer
Wholesaling 
Billing 
Sources: The Guardian, A new generation of electricity pylons (2011), http://electricitywizard.com.au/
Source: Origin Energy website
☐ Nice 
☒ Different 
☐ Unusual
Price?
One respondent summed up the 
attitude of many: 
“I am lost as to know who to use for 
Source: Choice.com.au, Energy retailers marketing tactics (2013) 
electricity. 
They all have different offers, but the 
bills end up the same.”
Customer experience?
Source: vaasa ETT, World Energy Retail Market Rankings (2012)
Source: Energy and Water Ombudsman (Victoria), Annual Report (2013)
Source: Herald Sun, Cold-hearted power companies tell shivering pensioners to rug up (30/07/2014)
“Currently, many utilities in Australia 
are not commanding strong public 
trust.” 
Source: CSIRO, Change and choice (2013)
Australia: we have a 
customer relationship 
problem.
- Act II - 
The technology
Data. 
Lots of it. 
Everywhere. 
All the time.
Source: http://www.winpure.com/blog/does-my-company-need-data-cleansing-software/
Solar PV + storage.
Centralised → Distributed 
C + Cu → Si + Li 
Source: ABC News,Wikimedia, The Age, http://www.lithiumion-batteries.com/
Electric Vehicles.
Source: Wikimedia, Tesla Roadster charging
Connected Home.
Source: Nest.com
Increased customer 
expectations 
+ 
Distributed energy 
resources 
=
Challenge or 
opportunity?
- Act III - 
Solutions
Customer analytics 
spatial data provides the 
grounding.
Innovative service design 
connecting local resources to 
local energy needs.
Solution 1 
Customer analytics 
Know thy customer
Geo-demographics 
+ 
historical bills 
= 
customer segments
Source: Nick Bearman, Using R for geodemographic analysis (speakerdeck.com)
NILM 
Non-Intrusive 
Load Monitoring.
Smart meter data, 
visual insights. 
Heating in winter 
2013 
30 kWh / day 
1 week away in 
January 
fridge + standby 
load: 80W 
Heating in winter 
2014 
15 kWh / day 
No air conditioning 
in summer 2013- 
2014 
Source: Carbon GIS
Smart meter data, 
spatial insights. 
Air conditioning 
size 
2.5 kW
Application #1 
early detection of 
customer hardship
Alerts & feedback
Application #2 
personalised energy 
recommendations
Source: Bidgely 
value 
for 
customer
Application #3 
improved 
customer service 
in call center
“Have I used more 
electricity this time? 
But I can’t figure out why.” 
Source: Nichols L. & Strengers Y., Changing Demand: Flexibility Of Energy Practices In Households With Children (2014)
Smart meter data + solar data 
= upsell opportunity 
Solar 
compatibility 
36%
Reactive 
Pro-active 
Predictive 
Pre-emptive
Solution 2 
Innovative service design 
Engage thy customer
Local, social 
conversations.
Source: www.intelligentutility.com, The Twitter-based customer service conversation
Sourcing local energy 
using an app.
Source: Powershop app
Source: http://vandebron.nl/
Using 
peer rankings.
Source: OPower website
Building a 
virtual power plant.
= 
distributed aggregated
Energy trading platform 
for EV charging.
=
Conclusion 
Take-away?
The future electricity grid 
is 
customer-centric 
and 
distributed.
Source: CSIRO, Change and choice (2013)
The transition path to get 
there can be orderly. 
Or not.
RE: think business model. 
Or others will.
Thank you. 
Hervé Senot 
hsenot@gmail.com 
Twitter: @hsenot 
GIS & energy analytics

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