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Smart Grid Analytics:
Leveraging big data to deliver
customer value
Smart Energy Forum| 27 November 2014
Operational
savings
Home Energy
Management
Systems (HEMS)
Solar Electric
vehicles
How would you
grade your utility’s
preparedness to manage the
smart grid/smart meter
data influx?
4
Trouble making sense of the data
17% (2013)
Percentage who said completely
prepared:
Q:
A:
Source: Oracle
Difficulty recruiting customers for programs
CASE IN POINT: Utilityco’s pricing program
$37M spent to enroll the first 22k customers
77%
of UtilityCo customers would
benefit from a CPP rate
1.5%
of UtiltyCo’s customers
enrolled in CPP Rate
DISILLUSIOMENT
Giving up altogether
» $138M SG Investment Grant for
AMI
» Installing additional devices at
>$1200 lifetime cost
» Only 14,000 homes enrolled
after 3 years of recruitment
CASE IN POINT: Utilityco’s device program
Source: NV Energy 2014 Annual Report
7
Can we dig ourselves out?
Leveraging Smart Meter big data
Innovative
consumer tools
Demand
response
resource
Robust
customer
intelligence
10
Signs of hope
HIGH BILL ALERT RATE ANALYSIS
TOOLS
Usage disaggregation
5%
improvement in
relationship and
brand metrics
19%
decrease in
high bill calls
Usage alerts
Digital
interaction
Web
analytics
Usage
behavior
Customer
provided
data
Digital
interaction
Web
analytics
Usage
behavior
Customer
provided
data
Customer intelligence
Adoption:
100% of homes
Savings Opportunity:
Broad-based kW/home
Adoption:
5% - 15% of homes
Savings Opportunity:
Deep kW/home savings
Direct Load Control:
Expensive and hard to scale
Traditional Direct Load Control
Opower’s
Behavioral Demand Response
Snapshot:
Snapshot:
80%
highly satisfied
with BGE’s
program
5%
average peak
savings
15%
peak savings for
engaged savers
Deployed to >1M households
Behavioral Demand Response
No Incentives
Behavior Demand Response
With Incentives
17
Results: Performance across 10 events
18
Results: Transformative smart grid economics

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