quby michiel fokke

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How data analytics makes Quby’s Toon thermostat smarter Michiel Fokke [email protected]

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How data analytics makes Quby’s Toon thermostat smarterMichiel [email protected]

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OpportunitiesEnergy related Problems in the market worthwhile solving with Toon

Energy efficiency of

homesImprove energy

efficiency in homes

Monitor installations in

homes Check when

maintenance, repair or replacement is

necessary

Demand side management of

homesBalance energy use of homes with production

of energy

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Solutions with ToonWhat value Toon can add to solve these Problems?

Provide individual insight & advice,

automate tasks of users

Monitor installations 24/7,

remote diagnostics

Automate tasks of users, participation

of users

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Setup R&D Big Data clusterSeparate environment to collect data of Toon Innovators & develop prototype applications

COLLECT

STORE

~2.000 Toon Innovators R&D big data cluster

HOST (NXT PLATFORM R&D)

Data Toon Innovators

Prototype applicationsANALYTICS

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Setup Data CollectionStarted data collection & validation of Toon Innovators + expand group with Eneco

Energy meter CH-boiler Thermostat User interactionSolar panels

DATAGas consumption

Electricity consumption

Electricity feed-in…

DATAOperational modeService messages

Water temperature

DATARoom

temperatureTemperature

setpointsWeek program

DATAElectricity productionElectricity

consumptionElectricity feed-in

DATATouch events

User feedbackProduct

configuration…

DATAElectricity appliances

Control appliancesSchedules

Smartplugs

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Framework Data Analytic Engine

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Data QualityStarted data collection, doing: prototype first to learn user need and validate solutions

Variable Property Description SolutionTemperature

Inside temperature

Data missing for 20% of households Tbd

Temperature

Inside temperature

For 5-10% of households, temperature drops after short period of missing data

Tbd

Temperature

Inside temperature

Some outliers Tbd

Temperature

Inside temperature

Some users have weird patterns of missing data Tbd

ABCD

A B C D

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Clean data and pre-process data to make it usable Clean data

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Powe

r (wa

tt)

Duration (time)

Create metrics of data with algorithms

Metrics

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Use metrics of a home to identify typical characteristics of appliance, installation or behavior

Create Signature

Powe

r (wa

tt)

Duration (time)

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Compare signature with those of comparable households or with market standards

Benchmark

Duration (time)

Powe

r (wa

tt) Trigger -> Unusual

high electricity

consumption

100

40 min.

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Alert user to get attention

Alert

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Start dialogue to check alert & get feedback from user

Dialogue

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Start dialogue to check alert & get feedback from user

Dialogue

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End dialogue with actionable advice

Actionable Advice

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Michiel FokkeChief Technology Officer

[email protected]@twoxey