1. 22 September 2017
Using scalable data science to
enable households to become
more energy efficient
Stephen Galsworthy
2.
3.
4. Introducing Toon
Toon puts you in charge by providing
you real time energy insight, giving you
options to save money and reduce
your footprint.
Toon gives you access to new services
and taps into the increasing possibilities
of connected things, making your life
smarter.
7. Scale of Toon data
100 MB data
per user
collected per
month
350,000 thermostats
installed
300 types
of sensor
and user
interaction
data
8. Data Privacy
Data from all Toons is collected and stored
anonymously. Data is tagged with an anonymous
ID, generated locally on Toon.
The end user maintains control over this key and
we only use data in a non-anonymous way when
a customer explicitly opts-in.
9. Toon Innovators
Innovators agree to share their data for
research and product development.
In return they they are first in line to try out
our new services!
11. Apache Airflow
Data Science platform
For managing Spark
clusters and notebooks
For scheduling complex
workflows
For production grade
algorithms and R&D
For machine learning on
distributed data
15. Example: Inefficient washing machine
1. Run disaggregation algorithms
on the 10s electricity meter data
2. Determine appliance fingerprint
3. Compare with industry
energy consumption
standards
4. Personalised advice
for the customer
Washing machine
Dryer Dish washer
Power
Wh
16. Example: Heating and Insulation advice
1. Analyse how much gas is used
for heating the home
2. Analyse the cooling down rate
of the home overnight from
temperature data
3. Benchmark with
comparable homes
4. Personalised insulation
advice for the customer
Insulation
It looks like your home loses energy more
quickly than efficient homes
17. Scale of Toon data
35,000,000 washing machine cycles
detected per year
100,000
washing
machine cycles
detected per
day
18. What else is on its way?
Boiler Monitoring
Toon will keep an eye on your boiler 24 hours per day.
It’ll tell you if it’s still working correctly and when the next
maintenance is due.
Monthly Energy Insights
A personalised overview of energy usage for all Toon
users.
19. We are proud to be working together with:
Stephen Galsworthy
Head of Data Science
+31 (0) 20 462 1680
stephen.galsworthy@quby.com
Notas del editor
Currently a company of 150 people in Amsterdam with more than 25 nationalities
Focus on smart energy & smart living
About Quby
Started in 2004 in Amsterdam as Home Automation Europe BV
Current partners in NL, BE, ES. 350k Toon
Launch Spain October 2017
We have built out the whole stack to bring you Toon, from hardware to cloud
Toon became the heart of the home. Through appealing smart home services and transforming the non-interest energy customer into high interest energy management partners. Other utility services and technologies like energy storage, heat pumps, electrical vehicles and solar solution suddenly have one platform to efficiently interact with its users.
Click data
Thermostat
Data tagged with anonymous ID, generated on Toon
Measurements every 10 sec / 1 min / 1 hour (variable dependent)
Sent to data collector once per minute
Written to storage every 2 – 60 minutes (volume dependent)
100MB data per user per month. (Zipped to 5MB for storage)
Distributed machine learning pipelines
R&D for machine learning in spark on distributed data
Using Databricks for both managing spark clusters and notebooks
Data tagged with anonymous ID, generated on Toon
Measurements every 10 sec / 1 min / 1 hour (variable dependent)
Sent to data collector once per minute
Written to storage every 2 – 60 minutes (volume dependent)
100MB data per user per month. (Zipped to 5MB for storage)
