THE 1 ST NATIONAL PUC DOCKETS DATABASE: AEE POWERSUITE Eric Fitz Director, Engineering and Product Development NARUC Subcommittee on Information Services November 2014

Advanced Energy Economy 2 AEE is a national association of business leaders who are making the global energy system more secure, clean, and affordable. Mission: Transform public policy to enable rapid growth of advanced energy companies.

AEE Membership Across Technologies 3

Two Energy Policy Data Problems: 4 + 2) Big Data1) Fragmented Data

Industry Data Is Fragmented Industry Stakeholder Groups NREL EIADSIRE OpenEI PUCs Databases CA MAMA IL TX CT You must follow dozens of data sources to track important issues.

Big Data Policy work is plagued by the three “Vs” Volume of policy data Variety of legislative/regulatory processes Velocity of data change

AEE Digital Platform Vision Industry Stakeholder Groups NREL EIADSIRE OpenEI PUCs Databases CA MAMA IL TX CT AEE Big Data Asset

The Solution – AEE’s PowerSuite 8 PowerSuite is robust set of tools – including BillBoard, DocketDash, and PowerPortal – that allows you to search, track, and collaborate on energy legislation and utility regulatory proceedings from across the country with one, easy-to-use interface.

PowerSuite Products 9

Review of Features 10 Core Features Search First national PUC database Advanced energy focused bills Simple interface Track notifications Favorites Reporting Collaborate Summaries Priority and Position Comments

User Testimonial 11 Jim Kennerly Senior Policy Analyst “PowerSuite is really amazing…I've already discovered some incentives in California (tax exemptions and such) we didn't even have in the database! This is really going to help us tremendously - great product.”

DEMO

DocketDash System Details 13 SH

DocketDash Coverage: 46 States + DC 14 Under Development Quality Assessment (QA) Pending Review Completed

DocketDash Key Stats 15 Dockets 190K 32M 60GB of raw text Documents 2.6M 900GB of pdfs Pages

Number of Pages: Wikipedia vs. DocketDash 16 DocketDash 34M* 32M *As of November 2014, VS. DocketDash will surpass Wikipedia’s total content in a few months.

Collect Display (User Interface) PUCs CA MAMA IL CT TX A C Bills Dockets Store Index Adapt B Process AEE Big Data Asset DocketDash Technology Stack

Technology Stack Detail 18 Process Download Adapt Collect Dynamic docket metadata collection at off-peak hours Docket #, Title, Description, Parties, Date... Map source schema to AEE standard Queue downloads and identify scanned documents OCR PIPELINE OCR = Optical Character Recognition Reassembled PDF Extracted Text Validate Review metadata and check for failures Scanned Document 20 CPU-Years

What Have We Learned? 19 PUC docket sites vary dramatically state by state Usability Permalinks Search Data structure Nomenclature Digital vs. paper system Creating a standardized docket system is hard

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