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From Smart Water Meters to Demand and Customer Relationship Management Turning smart water meter data into a business intelligence tool Piero Fraternali Giorgia Baroffio Andrea Cominola Politecnico di Milano piero.fraternali | [email protected] [email protected]
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From Smart Water Meters to Demand and Customer Relationship Management

Jan 21, 2017

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Page 1: From Smart Water Meters to Demand and Customer Relationship Management

From Smart Water Meters to Demand and Customer Relationship Management

Turning smart water meter data into a business intelligence toolPiero Fraternali Giorgia Baroffio Andrea Cominola

Politecnico di Milanopiero.fraternali | [email protected] [email protected]

Page 2: From Smart Water Meters to Demand and Customer Relationship Management

OUR COMMON PROBLEM: THE EXAMPLE OF: LONDON

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UK_WATER SUPPLY UTILITY15 million customers2.6 Gl/day drinking water3 billion $ revenue (2013-14)

Page 3: From Smart Water Meters to Demand and Customer Relationship Management

Demand management

DEMAND MANAGEMENT

CAPACITY EXPANSION

2010 2040

Page 4: From Smart Water Meters to Demand and Customer Relationship Management

consortium cluster

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From water data to customer relationship and demand management

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Data acquisition and consolidation

Consumption datarepository• Privacy• Security

Consumer Portal• Awareness• Feedback Engagement & Behavior Change

• Recommendations• Goals, Achievements, Rewards

Water data analytics• End use disaggregation• Consumption patterns detection

User modeling• Clustering• Demand prediction and simulation

Personalized tips

Household features

Page 6: From Smart Water Meters to Demand and Customer Relationship Management

Engagement: motivation drivers

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extr

insic

intrinsic

Price discounts

Redeemable goods

Consumption Goals

Water games

Educational resources

Social sharing

Peer comparison

Water diaryAwarenesstools

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Awareness

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Peer comparison

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Water education

Page 10: From Smart Water Meters to Demand and Customer Relationship Management

Water games

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Redeemable goods

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Data analytics

Outalgorithm

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User modelingUsers’ BEHAVIORAL MODELING through CLUSTERING and CLASSIFICATION techniques.

11 %

52 %

37 %

High consumers

Medium consumers

Low consumers

WATER CONSUMPTION PROFILES

Page 14: From Smart Water Meters to Demand and Customer Relationship Management

Status

• Today– Gamified Consumer Portal in alpha test – 400 households in Canton Ticino (CH), AMI at 1 hr resolution

• End of 2015– Deployment in Valencia with Emivasa, Grupo Aguas de Valencia.– 650'000 smart meter in 2015 (490'000 already deployed)– Access to 2500+ smart meter at 1h resolution

• 2016-17– Deployment in London with Thames Water

• Long term investment: 3 M smart meter before 2030 (40’000 in 2015)

Page 15: From Smart Water Meters to Demand and Customer Relationship Management

thank you

http://www.smarth2o-fp7.eu/

@smartH2Oproject

#SmartH2O@NRMPolimi

piero.fraternali | giorgia.baroffio | [email protected]

Politecnico di Milano Department of Electronics,

Information and Bioengineering