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
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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
Water data analytics• End use disaggregation• Consumption patterns detection
User modeling• Clustering• Demand prediction and simulation
Personalized tips
Household features
Engagement: motivation drivers
6
extr
insic
intrinsic
Price discounts
Redeemable goods
Consumption Goals
Water games
Educational resources
Social sharing
Peer comparison
Water diaryAwarenesstools
7
Awareness
8
Peer comparison
9
Water education
Water games
11
Redeemable goods
12
Data analytics
Outalgorithm
13
User modelingUsers’ BEHAVIORAL MODELING through CLUSTERING and CLASSIFICATION techniques.
11 %
52 %
37 %
High consumers
Medium consumers
Low consumers
WATER CONSUMPTION PROFILES
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)