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WIFI SSID: Spark+AISummit | Password: UnifiedDataAnalytics
Ellissa Verseput, Quby
Making Homes Efficient and Comfortable
Using AI and IoT Data
#UnifiedDataAnalytics #SparkAISummit
Outline
• Why, What, How Quby
• 2 Example Use Cases
– Bill Breakdown (Efficient)
– Thermostat Program Advice (Comfortable)
3
4
We believe the future can be better.
Easier, more comfortable, and more sustainable.
We help businesses and their customers to make this change
without compromising on the important things in life.
5
Z-Wave
Meter adaptors
Boiler
adapters
Gas sensor
Philips Hue
Z-Wave
Central heating
system
Solar panels and power
storage
Smart plugs & smoke detectors
Electricity sensor
Gas
Water
Water sensor
Electricity
Athom Homey Amazon Alexa Google HomeDrebbleOlisto
7#UnifiedDataAnalytics #SparkAISummit
Over 400,000 connected homes across Europe
Our partners:
Outline
ü Why, What, How Quby
• 2 Example Use Cases
– Bill Breakdown (Efficient)
– Thermostat Program Advice (Comfortable)
8
Energy insights gas & electricity
(high frequency)
Waste checker (~7 use cases)
Water insights & saving tips
Solar generation integration
Smart thermostat functionality
Smart home integration
Air quality measurement & insights
Monitoring the home
Smart security solution
Assisted living
Energy insights with low frequency
Dedicated app development for utilities with superior user experience & personal relevance
Home services
Efficient home Comfortable home Trusted home
Current Quby Portfolio
9
Use Case #1
Bill Breakdown
10
Show how different appliances and
activities in the home contribute to the
energy bills
Key Technology: Load Disaggregation
11
Quby’s disaggregation algorithms
12
Patented algorithms can detect appliances from 10 second
resolution electricity meter data
Bill Breakdown Categories for 10sec-data
13
Elec data
Elec bill
14
10sec-data VS 15min-data
High
Resolution
Low
Resolution
Bill Breakdown Categories for 15min-data
15
Elec bill
Elec data
Super Resolution
16
17
Utilizing our large database of high-resolution data, we apply advanced techniques to offer a more
personalized, more dynamic and more accurate bill breakdown service.
Low resolution data
Bill breakdownEnhancement
Most similar
users with high
resolution data
Appliance
detections
High resolution data
User
Similar users
Bill Breakdown Architecture
18
Toon data
collector
P4 data
collector
API
Bill Breakdown for low resolution data
19
Outline
ü Why, What, How Quby
Ø 2 Example Use Cases
• Bill Breakdown (Efficient)
• Thermostat Program Advice (Comfortable)
20
Outline
ü Why, What, How Quby
Ø 2 Example Use Cases
🤯 Bill Breakdown (Efficient)
• Thermostat Program Advice (Comfortable)
21
Use Case #2
Thermostat Program Advice
22
Suggest updates to the Toon users’
thermostat program, such that the program
better reflects their behavioural patterns
Thermostat Program Advice Key Technology
23
Cooling down and
warming up rate
Humidity sensor
Somebody home?
Presence Detection
Non-intrusive Monitoring
24
Proof of Life – Toon can detect when a person is present
Safety – Toon can indicate an active/inactive (elderly) resident
Heating/Lighting – Toon can detect people are active to optimize heating
Training a Machine Learning Model
25
Hour Mon Tues Wed
08:00 Home Away Home
09:00 Away Away Home
10:00 Away Away Home
Hour Mon Tues Wed
08:00 Home Home Home
09:00 Home Away Away
10:00 Away Away Away
Cooling down and
warming up rate
Humidity sensor
We want to track model improvements and reproduce models
Challenge
Solution:
27
This is how we did it
28
• We have saved the best, trained machine learning model in Python,
• but for our production data pipeline we want to use Spark Scala
Challenge
Pandas
UDF
Solution: Pandas UDF
30
Saved
Model
This is how we did it
31
Thermostat Program Advice Architecture
32
Toon data
collector
Presence
Labels
API
Survey
Program Advice
What’s next?
33
8:00
Good to see that mom has
woken up. I was worried
since she complained she
had breathing issues.
16:00
Guess the first thing he
turned on was the game
console. At least, I know
he is back home from
school
12:00
I left for work early
morning, there
shouldn’t be any
recent activity.
Perhaps I should have
the neighbors check
Assisted Living
34
8:00
Good to see that mom has
woken up. I was worried
since she complained she
had breathing issues.
16:00
Guess the first thing he
turned on was the game
console. At least, I know
he is back home from
school
12:00
I left for work early
morning, there
shouldn’t be any
recent activity.
Perhaps I should have
the neighbors check
We can monitor the home to help
people care for their loved ones and
keep their homes safe & warm.
Summary
ü Why, What, How Quby
ü 2 Example Use Cases
ü Bill Breakdown (Efficient)
ü Thermostat Program Advice (Comfortable)
35
This is Quby!
careers@quby.com
linkedin.com/company/quby/
Get in touch
Ellissa Verseput
Machine Learning Engineer
Ellissa.verseput@quby.com
(+31) 6 133 688 21
DON’T FORGET TO RATE
AND REVIEW THE SESSIONS
SEARCH SPARK + AI SUMMIT

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Making Homes Efficient and Comfortable Using AI and IoT Data

  • 1. WIFI SSID: Spark+AISummit | Password: UnifiedDataAnalytics
  • 2. Ellissa Verseput, Quby Making Homes Efficient and Comfortable Using AI and IoT Data #UnifiedDataAnalytics #SparkAISummit
  • 3. Outline • Why, What, How Quby • 2 Example Use Cases – Bill Breakdown (Efficient) – Thermostat Program Advice (Comfortable) 3
  • 4. 4 We believe the future can be better. Easier, more comfortable, and more sustainable. We help businesses and their customers to make this change without compromising on the important things in life.
  • 5. 5
  • 6. Z-Wave Meter adaptors Boiler adapters Gas sensor Philips Hue Z-Wave Central heating system Solar panels and power storage Smart plugs & smoke detectors Electricity sensor Gas Water Water sensor Electricity Athom Homey Amazon Alexa Google HomeDrebbleOlisto
  • 7. 7#UnifiedDataAnalytics #SparkAISummit Over 400,000 connected homes across Europe Our partners:
  • 8. Outline ü Why, What, How Quby • 2 Example Use Cases – Bill Breakdown (Efficient) – Thermostat Program Advice (Comfortable) 8
  • 9. Energy insights gas & electricity (high frequency) Waste checker (~7 use cases) Water insights & saving tips Solar generation integration Smart thermostat functionality Smart home integration Air quality measurement & insights Monitoring the home Smart security solution Assisted living Energy insights with low frequency Dedicated app development for utilities with superior user experience & personal relevance Home services Efficient home Comfortable home Trusted home Current Quby Portfolio 9
  • 10. Use Case #1 Bill Breakdown 10 Show how different appliances and activities in the home contribute to the energy bills
  • 11. Key Technology: Load Disaggregation 11
  • 12. Quby’s disaggregation algorithms 12 Patented algorithms can detect appliances from 10 second resolution electricity meter data
  • 13. Bill Breakdown Categories for 10sec-data 13 Elec data Elec bill
  • 15. Bill Breakdown Categories for 15min-data 15 Elec bill Elec data
  • 17. 17 Utilizing our large database of high-resolution data, we apply advanced techniques to offer a more personalized, more dynamic and more accurate bill breakdown service. Low resolution data Bill breakdownEnhancement Most similar users with high resolution data Appliance detections High resolution data User Similar users
  • 18. Bill Breakdown Architecture 18 Toon data collector P4 data collector API
  • 19. Bill Breakdown for low resolution data 19
  • 20. Outline ü Why, What, How Quby Ø 2 Example Use Cases • Bill Breakdown (Efficient) • Thermostat Program Advice (Comfortable) 20
  • 21. Outline ü Why, What, How Quby Ø 2 Example Use Cases 🤯 Bill Breakdown (Efficient) • Thermostat Program Advice (Comfortable) 21
  • 22. Use Case #2 Thermostat Program Advice 22 Suggest updates to the Toon users’ thermostat program, such that the program better reflects their behavioural patterns
  • 23. Thermostat Program Advice Key Technology 23 Cooling down and warming up rate Humidity sensor Somebody home? Presence Detection
  • 24. Non-intrusive Monitoring 24 Proof of Life – Toon can detect when a person is present Safety – Toon can indicate an active/inactive (elderly) resident Heating/Lighting – Toon can detect people are active to optimize heating
  • 25. Training a Machine Learning Model 25 Hour Mon Tues Wed 08:00 Home Away Home 09:00 Away Away Home 10:00 Away Away Home Hour Mon Tues Wed 08:00 Home Home Home 09:00 Home Away Away 10:00 Away Away Away Cooling down and warming up rate Humidity sensor
  • 26. We want to track model improvements and reproduce models Challenge
  • 28. This is how we did it 28
  • 29. • We have saved the best, trained machine learning model in Python, • but for our production data pipeline we want to use Spark Scala Challenge
  • 31. This is how we did it 31
  • 32. Thermostat Program Advice Architecture 32 Toon data collector Presence Labels API Survey Program Advice
  • 33. What’s next? 33 8:00 Good to see that mom has woken up. I was worried since she complained she had breathing issues. 16:00 Guess the first thing he turned on was the game console. At least, I know he is back home from school 12:00 I left for work early morning, there shouldn’t be any recent activity. Perhaps I should have the neighbors check
  • 34. Assisted Living 34 8:00 Good to see that mom has woken up. I was worried since she complained she had breathing issues. 16:00 Guess the first thing he turned on was the game console. At least, I know he is back home from school 12:00 I left for work early morning, there shouldn’t be any recent activity. Perhaps I should have the neighbors check We can monitor the home to help people care for their loved ones and keep their homes safe & warm.
  • 35. Summary ü Why, What, How Quby ü 2 Example Use Cases ü Bill Breakdown (Efficient) ü Thermostat Program Advice (Comfortable) 35
  • 37. Ellissa Verseput Machine Learning Engineer Ellissa.verseput@quby.com (+31) 6 133 688 21
  • 38. DON’T FORGET TO RATE AND REVIEW THE SESSIONS SEARCH SPARK + AI SUMMIT