smart grid analytics
TRANSCRIPT
Smart Grid Analytics: Leveraging big data to deliver customer value
Smart Energy Forum| 27 November 2014
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
I added a small image
To make it clear this
Was a Time of Use Program.
Any way to make this look
Cleaner?
$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
Leveraging Smart Meter big data
Innovative
consumer tools
Demand
response
resource
Robust
customer
intelligence
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:
Deployed to >1M households
Behavioral Demand Response No Incentives
Behavior Demand Response With Incentives