Day-3, Mr. Satyajit Dwivedi analytics for decision making

Data to Analytics to Insights in a Smart Grid

Satyajit DwivediDirector – Energy and Strategic Initiatives

Global Energy Business UnitSAS Institute Inc.

Copyright © 2012, SAS Institute Inc. All rights reserved.

Customer Behavior is evolving and

expanding through multiple touch

points


Digital Sensors, Meters, DCS, SCADA, HISTORIAN were the main source of real time data acquisition in this sector. Other enterprise wide transaction & automation systems generate other enterprise data.

Volume Variety Velocity will always grow !

There has never been dearth of data in Energy & Utilities Sector

Copy r igh t © 2013 , S A S I ns t i t u t e I nc . A l l r i gh t s r es e rv ed .

Analytics can be used by utilities to improve understanding of:• Peal Load Management / Demand Response• Customer Segment Consumption Behavior• Fraud and Non-Technical Loss• Load Forecasting and Portfolio Optimization• Smart Meter Deployment Optimization• Predictive Asset / Alarm Analytics

IMMENSE

Copy r igh t © 2013 , S A S I ns t i t u t e I nc . A l l r i gh t s r es e rv ed .

THE DIFFERENCE BETWEEN RAPID INSIGHT AND FAST INFORMATION

DATA VISUALIZATION = EXPLORATION

ANALYTIC VISUALIZATION = INSIGHTS

“The Greatest Value Of A Picture

Is When It Forces Us To Notice

What We Never Expected To See.”John W. Tukey, Exploratory Data Analysis 1977


Analytics Platformfor

Smart Grid


Critical to estimate accurately

Design optimalpricing

Critical to estimate accurately

PEAK LOAD MANAGEMENT / DEMAND RESPONSE MANAGEMENT

Analytics for Hourly Peak – Daily Peak – Monthly Peak – Yearly Peak

Visualization of Analytics


THEFT MANAGEMENT & TAMPER DETECTION

Analytics for Visualisation – Anomaly Pattern Detection – Alert – Corrective &

Prevent ActionVisualization of Analytics


Source: Davenport, Thomas and Harris, Jeanne. “Competing on Analytics: The New Science of Winning”

ANALYTICALLYIMPAIRED

LOCALIZEDANALYTICS

ANALYTICALASPIRATIONS

ANALYTICALCOMPANY

ANALYTICALCOMPETITOR

STAGE 1

STAGE 2STAGE 3

STAGE 4STAGE 5

Limited interest in

analyticsby senior

management

Line-of-business

managementare driving

analytics momentum

Senior executives are committed to

analytics

Resourcesare aligned to

create a broad analytics

capability

Enterprise-wide analytics

capabilityis under

developmentas a corporate

priority

Organizationis routinely reaping the benefits of enterprise-

wide analytics

Focus on continuous

improvement

5 Stages of “Analytics” Maturity

WE ARE

HERE

SmartGrid

Pilots


14 Smart Grid Pilots

For the Paradigm Shift

Orchestrate the Information Management for Fact Based Decision

With “Analytics”

Thank You

SAS ranked the #1 Smart Grid Analytics and #1 Data Management vendor in the World

by Green Tech Media

Day-3, Mr. Satyajit Dwivedi analytics for decision making

Technology

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