Behavioral Energy Usage Segments Help Explain EE Program Savings Rates Copyright © 2016,Oracle and/or its affiliates. All rights reserved. | 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 2 Opower’s Home Energy Report 3 Copyright © 2016,Oracle and/or its affiliates. All rights reserved. | Opower’s Home Energy Report Normative comparison 4 Copyright © 2016,Oracle and/or its affiliates. All rights reserved. | Generates predictable and verified electricity savings Copyright © 2016,Oracle and/or its affiliates. All rights reserved. | Behavioral Demand Response product reduces peak usage, without a device or price Copyright © 2016,Oracle and/or its affiliates. All rights reserved. | 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 Copyright © 2016,Oracle and/or its affiliates. All rights reserved. | But, one day of data only tells us so much about a customer Copyright © 2016,Oracle and/or its affiliates. All rights reserved. | And every day isn’t exactly the same, so there’s a lot of noise in the data Copyright © 2016,Oracle and/or its affiliates. All rights reserved. |