A Consumer-Centric Architecture for Energy Data Analytics Rayman - - PowerPoint PPT Presentation

A Consumer-Centric Architecture for Energy Data Analytics

Rayman Preet Singh, S. Keshav, and Tim Brecht

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Home Energy Data

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Smart Meter Deployments

Electricity Gas Water Projects Trials

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Energy Retail Association

Energy Data Use

“Your decade-old furnace is in-efficient and is costing you an additional $400 a year. Click here to see replacement options.” E-mail “It is unusual for your oven to be on at this time of day. Would you like to turn it off ? Click Yes/No” Text Message

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Energy Data Privacy

Time of Day

0 1 2 3 4 5 6 7 8 9 10 11 12

Power (W)

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Current Situation

• Utility websites
• Google Powermeter
• Microsoft Hohm
• Green Button

"Our constitution allows us not to have that kind of intrusion on our personal privacy” "They’ll be able to tell if you are running your computer, air conditioner, whatever it is”

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Problems

Data privacy loss Frozen innovation in analytics No data ownership or control

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Goals

Data ownership Data access Data analytics

Consolidation Durability Portability Integrity Data privacy Universal access Flexibility Scalability Extensibility Performance

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Approach 1

Energy Data App Runtime

Scalability* Extensibility* Consolidation Durability Privacy, portability, ...

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Approach 2

Privacy* Consolidation Durability Scalability, ...

Energy Data App Runtime

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Approach 3

Privacy Extensibility Flexibility Universal Access, …

SaaS

Energy Data App Runtime

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Proposed Architecture

Native App Cloud Based App

Control Data

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Proposed Architecture

Public Internet Cloud

Solar Panel EV Home Appliances

Energy Storage

App Runtime APIs

Web Services Data

Privacy Protection Access Control VHome Native App Cloud-Based App Remote UIs Gateway

Smart Meter Data Utility-owned Server 13

Implementation

Gateway: Microsoft HomeOS

Dixon, C., Mahajan, R., Agarwal, S., Brush, A., Lee, B., Saroiu, S., & Bahl, V. (2012). An operating system for the home. Proc. NSDI 2012.

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Implementation

Gateway: Microsoft HomeOS § Driver modules § Communication module § Coordinator module

<setStatus classID=1 objectID=2> <power>0.0</power> </setStatus>

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VHome

Suite of web applications using JAX-RS

Java è Portability across clouds (Amazon EC2, Root BSD, Windows Azure)

Access Control Mechanisms Privacy Protection Mechanisms APIs Web Services

Apache Tomcat (Web App Container)

Native App

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VHome Implementation Details

Vhome DB using cloud datastores Datastream: (Class ID, Object ID) specific time series e.g., class – heating, object – space heaters RESTful APIs to access datastreams Token-based fine-grained access control mechanism

• OAuth 2.0

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VHome Implementation Details

Access scope r/w + datastream(s) + value-based and/or timestamp-based

CBA ACM WS Authorization Request Prompt Allow One Time Authorization Grant One Time Authorization Grant Access Token + Refresh Token APIs Access Token Access Token Invalid Token Error Refresh Token Access Token + Optional Refresh Token API Return Values

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Progress

API access for a CBA

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Example Applications

Data scraper Energy data analytics

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Example Applications

Interactive monitoring and control

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Comparison with Existing Solutions

Microsoft Hohm, Google Powermeter Utility Web Portals OPower Green Button (Self) Green Button (Third Party) VHome

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Related Work

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• Sandboxing native applications

– Language based, e.g. Transmute (Griffins et al.) – System based, e.g. xBook (Singh et al.), OSN (Sariou et al.)

• Dataware manifesto (McAuley et al.)
• Privacy Analytics (Haddadi et al.)

Conclusions

• Data privacy v/s data analytics

– Existing solutions provide just one

• Application ecosystem for home energy

– Apple App Store, Google Play

• Leveraging modern clouds preserves privacy,

fosters application development

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