Behavioral Energy Usage Archetypes Help Explain EE Program Savings Rates

40 Pages·2016·1.19 MB·English

Behavioral Energy Usage
Segments Help Explain EE
Program Savings Rates
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Agenda
1 Opower background
Machine learning to segment households by energy usage
2
EE savings behavioral insights
3
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Opower’s Home Energy Report
3
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Opower’s Home Energy Report
Normative
comparison
4
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Generates predictable and verified electricity savings
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Behavioral Demand Response product reduces peak
usage, without a device or price
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Agenda
1 Opower background
Machine learning to segment households by energy usage
2
EE savings behavioral insights
3
Copyright © 2016,Oracle and/or its affiliates. All rights reserved. |Confidential –Oracle Internal/Restricted/Highly Restricted 7
Hourly data opens a window into how Matt lives
Most active 7-11pm
(eat dinner ~9pm!)
Someone is often home
during the day….
Wake up ~7am
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But, one day of data only tells us so much about a
customer
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And every day isn’t exactly the same, so there’s a
lot of noise in the data
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