NARUC 128th Annual Meeting How to Consider Big Data in Prudence Reviews and Rate Cases The Old Grid vs. The Smart Grid The Economic Impact on the Electricity Customer S&C Electric Company ©2013 CONFIDENTIAL www.sandc.com S&C Products and Applications Automation and Grid Control Overhead Distribution Power Quality and Energy Storage Substations Underground Distribution Global Services 3 OLD GRID OLD GRID 333 333 2000 Customers 334 334 333 333 SMART GRID SMART GRID 333 334 333 333 333 333 Truck Roll (Minutes) # of Customers Faulted Section Customer Minutes of Interruption SAIDI (minutes) (CMI/2000) Customer Costs (Source:LBNL/DOE) 102.35 90.7 $441,998 $276,573 10.86 9.61 $184,790 $111,999 OLD GRID 124 110 334 204,702 181,307 SMART GRID 65 58 334 21,710 19,229 Societal Cost Savings = $164,574 for this one event. Annualized investment = $62,500 per feeder Utility Cost Savings = 52 fewer minutes for the response crew. COMPELLING BUSINESS CASE IF THE UTILITY CAN BENEFIT FROM THE SOCIETAL COST IMPACT BEYOND THE EVENT – DATA! Event Data - Event logs - Waveform Captures System Performance Data - Feeder Reliability - Load/Source Conditions - System Modeling - Dynamic Configuration Device Status and Control - Switch identity data - Firmware version Control - Health Monitoring - Remote Settings NARUC 128th Annual Meeting How to Consider Big Data in Prudence Reviews and Rate Cases 12 © C3 IOT 2016 | CONFIDENTIAL - DO NOT COPY, REPURPOSE OR DISTRIBUTE IoT ADOPTION BY INDUSTRY IoT Adoption Is Growing, With Manufacturing and Utilities Estimated to Have the Largest Installed Base of Things by 2020 Installed base of things (in millions of units) as per the verticals 2013 through 2020. 13 Source: Gartner 2014 © C3 IOT 2016 | CONFIDENTIAL - DO NOT COPY, REPURPOSE OR DISTRIBUTE SMART CONNECTED PRODUCTS ARE TRANSFORMING COMPANIES & COMPETITION 14 © C3 IOT 2016 | CONFIDENTIAL - DO NOT COPY, REPURPOSE OR DISTRIBUTE SMART, CONNECTED PRODUCTS REQUIRE A NEW TECHNOLOGY STACK TITLE How Smart, Connected Products Are Transforming Competition BY Michael E. Porter & James E. Heppelmann 15 © C3 IOT 2016 | CONFIDENTIAL - DO NOT COPY, REPURPOSE OR DISTRIBUTE THE SMART GRID CUSTOM SMART DISTRIBU TRANSMI GENERA ER TION SSION TION METERS CIS / Billi CR ng Call M Cen ter 16 MD Hea M Ass d et End Mg mt OM S DM S WM S EMS SCA DA GIS © C3 IOT 2016 | CONFIDENTIAL - DO NOT COPY, REPURPOSE OR DISTRIBUTE Mar Gene ket ratio Ops n TRM Ops C3 IoT PLATFORM C3 Tools™ & Application Management Inte Mess grat age Recei or™ Sensor Network (Edge) Customer Systems (CRM) Online (web, mobile) Call Center Field Sales & Service Marketing Enterprise Systems Financials Manufacturing Supplier Logistics Asset Management Human Capital Management Billing Workforce Management HDFS Operational Systems C3 C3 Integratio n Dat Designer a ™ SCADA DRMS DMS OMS EMS GIS ver Inbou Mess nd age Queu Sens Send es er or Outbo Netw und ork Queu Com es muni M catio Q n T T ETL C3 Type Design er™ C3 Analyti c Design er™ S Y SC3 TEM IoT Platform™ M AC H I N E Basi Classific LcE AR N I N G / ation & PStati R E D I C T IRegressi ONS • Summary statistics • Linear models (SVM, logistic regression, linear regression) • Correlations • Decision trees / Boosted decision trees • Stratified sampling • Naive Bayes stics on Dimensi Opt onality imi Reductio zati onU CnO N T I N U O • Hypothesis testing • S V D • P C A • Stochastic gradient descent • Limited-memory BFGS (LBFGS) Collab orative Cl Filterin •us Alterna ting g ter least Featu • square insK re M g Selec e a tion n • Orthogonal matching pursuit • Greedy forward selection • Newton’s method s S D AT A PROCESSIN G• LBatch P AT F O • Stre • Continuou Servi am s Analytics R Mces Serv Processin S E R V I C E ices g S • Analytics BPM Queu es C3 C3 C 3 Applicat Data ion Explor TYPE Logic™ er™ • Application Logic • APIs • Authentica tion • Authorizati on • Data • Deploy ment • Logging • Autoscaling • Iterative Processing (in memory) • Monitorin g • System Management • MultiTenancy • Scheduler • Time Series • Profiling Message Services GMS Social Media Other Extern H Rela Multi Met al D tiona adat Sourc F l Dim a 17 es© C3 IOT 2016 | CONFIDENTIAL - DO NOT COPY, REPURPOSE OR DISTRIBUTE S ensi Weather, Traffic, Prices Google APIs Distribute d Key Value Store onal Logging File System C3 Ex Machin a™ C3 UI Design er™ C3 Provisi oner™ IoT Applicati ons CUST O M IO T APPL IC AT IO N S I o T Supply Network C R M Human Capital Prod ucts / T C3 C3 IO APPL IC AT IOPred Man N S C3 ufactictiv CR uring e C3 C3 M Main Fra Ener ™ tena gy ud C3 Capital nce Asset Man Det Planning™ ™ age ecti C3 ment on Sen C3 Supply ™ ™ Network sor Risk™ Heal th™ NARUC 128th Annual Meeting NARUC 128th Annual Meeting How to Consider Big Data in Prudence Reviews and Rate Cases
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