enabling the intelligent energy future
DESCRIPTION
TRANSCRIPT
A collaboration of:
Enabling the Intelligent Energy Future
Gary Hayes
Division V.P. and CIO, CenterPoint Energy
Houston •
• Little Rock
• Minneapolis
About CenterPoint Energy
• Public company traded on the New York Stock Exchang e (CNP)
• Headquartered in Houston, TX
• Operating 6 business segments in six states• Electric transmission and distribution
• Natural gas distribution
• Interstate pipelines and natural gas gathering (recent master limited partnership formed – Enable Midstream Partnership)
• Serving 5.4 million electric & gas customers• Managing 2.3 million electric smart meters in Houston electric service area.
Delivering 77 Gigawatts for 115 Retail Electric Providers in the Texas Competitive Electric Market
• $22 billion in assets, $8.5 billion in revenue
• 8,827 employees
• Over 130 years of service to our communities
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Topics
Drivers
Intelligent Design – Solution Frameworks
CenterPoint Intelligent Energy Reference Architecture (CIERA)
Building the future – work in progress
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Final Thoughts and Questions
Intelligent
Energy
Solutions and
Services
Consumer Technologies
Information
Technologies
Operational & Business
Technologies
Convergence
� Smart Phone and Tablet Technologies
� Multi Channel Interaction & Social Media
� Affordability Information accessibility and sharing
� Internet of Things
� Smart Meter
� Intelligent Grid & Demand Management
� Software as Service, Citizen Software & Services
� Mobility, Preferences, and Real-Time
� Big Data and Complex Event Processing
� New Service Models.. Cloud
� Cyber Security
Convergence is driving new thinking,
strategies, and services - and requiring
innovative approaches and
technologies….
We are being driven to a different future, an “intelligent” future…
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How do approach future design?“Evolution versus Intelligent Design” – A look to complex biological systems
• Evolution is a process that results in changes in a population spread over many generations. Biological evolution, simply put, is descent with modification. This encompasses small-scale and large-scale changes
• Intelligent Design states that only the guidance of an intelligent power can explain the complexity and diversity that we see to day -- that life as we know it could not have developed through random natural processes
Many of our utility technologies “evolved” requirement by requirement;
however, as we look to the future “intelligent design” will be essential
because of the sophistication and complexity happening today
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WMSWork
Management
CISCustomer
InformationSystem
DSDispatching
System
OMSOutage
Management
MDMobileData
System
GISGeographicInformation
System
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Operational Integration Chart for Utilities – Vintage pre-2000
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MRMV90Meter
Reading
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SCADASupervisory
Control & DataAcquisition
Before we look forward, let’s look back…
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WMSWork
Management
CCSCustomer
CareSystem
S&DSScheduling
& DispatchingSystem
OMSOutage
Management
MDMobileData
System
GISGeographicInformation
System
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2
364
5
7
9
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811
Operational Integration Chart for Utilities – Vintage 2010
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MRMV90
IDR MeterReading
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DCEData
CollectionEngine
MDMMeterData
Management
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DADistributionAutomation
System
SCADASupervisory
Control & DataAcquisition
Grid & Customer transformations driving change…
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EAMEnterprise Asset
Management
CCSCustomer
CareSystem
PS&DPlanning, Scheduling
& Dispatching
OMSOutage Analysis
andManagement
MDMobileData
System
GISGeographicInformation
System
1
2
364
5
7
9
10
811
Operational Integration Chart for Utilities – Future (by 2020?)
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MRMV90
IDR MeterReading
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IGIntelligent
GridSystem
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DCEData
CollectionEngine
MDMMeterData
Management
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CRMCustomer
RelationshipManagement
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DMDemand
Management& Response
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CEPComplex
EventProcessing
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SASituationalAwareness
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OAEOperational
AnalyticsEngine
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MoMNetwork
Manager of Managers
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SCADASupervisory
Control & DataAcquisition
The “Intelligent Energy” future will demand more…
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Challenge: The “Borg Effect” – “Resistance is Futile”
• Right out of Star Trek, the Borg have a singular goal, namely the consumption of technology.
• Mantra - "We are the Borg. Your biological and technological distinctiveness will be added to our own. Resistance is futile."
Over the recent years we have seen the “Borg Effect”
across the utility technology footprint and it is
increasing. Acquisitions to consolidate previous a single
dimension bolt-on into larger footprints, larger systems
acquiring niche solutions and so on. This creates
challenges for implementation integration, master data,
error management for the utility…intelligent design will
not be without its challenges!
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Challenge: Transitioning IT to the intelligent future while addressing these opportunities…
• Event Explosion
• Big Data
• Analytics & Automation
• Modernization
• IT / OT
• Mobility
• Innovation
• Sustainability / Talent
• Consumer transformation (technology, generational…)
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A successful approach requires deploying anchors to create the intelligent energy future…
Customer Choice:Enabling consumers with the knowledge, information and capabilities to understand and control their energy
choices
Intelligent Grid:advancing the capability to systematically manage and control the grid as a “self-
correcting” system, improving reliability, improving
recoverability during natural events, and providing for demand management &
response programs Information:
the collection, security, translation and presentation of information through monitoring, reporting, analysis and communications which
allow operating organizations and consumers to understand, manage and control their energy responsibilities
Advanced Metering
Customer Choice
Intelligent Grid
Information
Advanced Metering System:the capability to systematically record customer consumption,
to remotely monitor and control metered services, and the collection of consumer based device information
IntelligentEnergy Future
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Intelligent Energy:• Grid Control• Sensing• Usage, Outages• Reporting, Analytics, Alerts• Remote Diagnostics• CRM / Billing / Pricing• Competitive Retail Offerings• Appliance Diagnostics and Offers• Smart Energy Wizards
A successful approach requires changing the view from “operations out” to “consumer in”…
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A successful approach incorporates “enterprise architecture as a strategy” and “solution framework” thinking…
• Business Strategy Driveno CenterPoint Business Strategy
o Business Unit Strategieso IT Strategy
• Utility of the Future (Business View)o Empowered Consumerso Increased Open Markets
o Utilization of Demand Management, Response, Renewable Energy, Electric Vehicles…
o Maintained and/or Enhanced Grid Reliability, Resilience, Security, and Efficiency in the Face of Increasing Complexity
o Increased Worker Safety and Productivity• Utility of the Future (Technical View)
o Advanced Communications Infrastructure
o Sophisticated Consumer Systemso Automated Grid Operations and Control
o Integration of Traditional, Renewable and Distributed Energy Resources
o Effective Grid Planning and Asset Efficiency
o Increased Workforce Effectiveness
� Mobility & Smart Devices� Information / Analytics� Collaboration & Communications� Core Applications� Customer Communications
Company Strategy
Business Strategy
IT Strategy
Business Capability
Technical Architecture
Enterprise ArchitectureFrameworks
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This approach produced forward thinking and resulted in ourCenterPoint Intelligent Energy Reference Architecture (CIERA)
• Framework Overview:o Business Driverso Business Objectiveso Business Scenarioso Business Capabilitieso Business Benefits
• Guiding Principles
• Scenario / Use Cases• Maturity Model
• Technology Building Blocks• Technology Building Block Gaps
CIERA is comprised of frameworks underlying Business Services
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Fra
mew
ork
Com
pone
nts
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Enterprise Architecture Approach - Key ComponentsBusiness Vision, Enterprise Architecture, Building Blocks and Technical Architecture Articulate the Li nkage Between Business Strategies and IT Assets
The Business Vision Describes & Interrelates Mission, Vision, Goals and Strategies with Business Components & Interfaces
The Technical Architecture Describes the Physical Implementation of the CNP Technology, Standards and Services
The Enterprise Architecture Associates Main Business Components with Enabling Technical Elements from a Business-Driven Perspective
The Building Blocks are Logical Components of Select Technical Services and are the Basis for Technical Design, Selection or Creation
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Business Vision
Enterprise Architecture (CIERA)
Technical Architecture
• Consumer Business Vision• Business Strategy• Major Interdependencies
• Common Business Components• Diverse CNP BU’s• Smart Energy • Major Interdependencies
• Technical Infrastructure• Applications• Network• Data / Information• Service Management• Security
Solution Building Blocks“Frameworks”
• Mobility & Smart Devices• Information / Analytics• Collaboration & Communications• Core Applications• Customer Communications
Solutions Roadmap
• Business Initiatives Aligned to IT Technical Projects• Multi-Phased / Multi-Year• Building Blocks and Supporting Architecture
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CenterPoint Business Initiates a Project or Initiative
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Business and IT Develop Detailed Requirements and Validate Against Frameworks and IT Solutions
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IT Capabilities Are Reviewed and Designed Against Business Scenarios, Frameworks and Architectures
The Roadmap is a Multi-Year Plan of Strategic Business and Technical Projects Linked to CNP Business Strategies
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Required IT Solutions are Mapped to Support Business Initiatives and Planning Roadmaps
Actionable B
usiness-Driven
Technology Strategy
Actionable B
usiness-Driven
Technology Strategy
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CenterPoint Intelligent Energy Reference Architecture (CIERA)
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Customers RetailersService
Providers RegulatorsInfo
Workers Generators
RetailersService
Providers RegulatorsField
WorkersInfo
Workers Generators Vendors MarketsSmart
Devices
FrameworksConsumers
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Framework Use Case: Customer Multi-Channel Services
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Customer Channel Communications FrameworkTechnical Building Blocks
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…
…
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Customer Communication FrameworkTechnical Building Blocks Gaps
…
…
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Working gap closure, for our Customer Vision Platform (CRM) implementation is our Predictive Analytics Engine, focused on improved customer interaction…
BRF -Predictiv
e Algorith
m
BRF -Predictiv
e Algorith
m
Rule Model
er
Rule Model
er
Alert Modeler
Alert Modeler
PREDICTIVE ANALYTICS
ENGINE
Business Rules Framework (BRF) Plus -PREDICTIVE ALGORITHM:� Currently Designed in CRM using
Business Rule Framework (BRF Plus)� Ability to turn on-off any Business
Rule(s)
Rule Modeler� Configurable in CRM to evaluate the
qualification Criteria for Super 8 Business Process in an interaction
� Prioritize Agent Alert Messages� Auto Insert “Categorization” in
Interaction Record to track the benefit of PAE
ALERT MODELER� Configure Alert Messages / Dynamic
Variables / Themes / Icons / Tool Tip� Navigate to Context based Web UI
Screens with related Data Populated
Input – BP No / Premise
Details
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PAE Data Sources and Interactions
BRF
RM
AMInput 1
Input 2
Input 3
Output 1
Output 2
Output 3
TRIGGER ACTIONPREDICTIVE
ENGINE
CRM PAE
First Preferred Data Source for PAE
PAE gets data
PAE Provides data
Based on the channel input, the PAE is triggered to solicit information and provide information…
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How PAE can be utilized in a Call Flow?
Proactive Communication:0. Use PAE to qualify the customer and initiate Pro -active Customer Communication
Intelligent IVR Menu: (Consulting Approach by IVR)1. Customer Calls Contact Center. IVR handles the c all 2. IVR calls CTI and provide the “Account Authenticat ion” information like ANI, Drivers License, Last 4-S SN3. CTI requests CRM about the Predictive Analytics Details based on Account Authenticated Information. 4. Predictive Analytics Engine, executes the “Analyti cs Algorithm” based on data from CRM / ECC / BI HAN A / Legacy System.5. Based on Predictive Analytics Algorithm,
A. The results are included in Contact Attached Dat a (CAD)B. IVR would provide “Intelligent Self Service Option s”
Smart Routing:C. Smart Routing to the correct agent based on Agent Skill Set / Availability and Customer Attributes
6. Agent receives the call and confirms the Custo mer
Proactive Customer Handling: (Consulting Approach b y Agent )7. Based on CAD, CRM raises appropriate alert messag es from Alert Modeler8. Agent acknowledge the issue to the Customer based on predictive details provided9. Agent Performs “ Consulting Interaction” with the Customer
CRM
IVR CTIPredictiv
e Analytics Engine
Alert Model
er
Customer Agent
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0
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Predictive Process –Agent View (Working Example, In Realization Phase)
Messages are Categorized to “Super 8”
Business Process that accounts for about
76% of the total call volume
Most appropriate predictive process is
highlighted and subsequent details shown in
second level menu
Customer Specific Messages are generated
with Variables populated from various Data
Sources
Messages are presented in the Order of $$ /
Date / Caution and Information categories.
Agents would be trained to quickly identify
the information based on Icons
System automatically captures the Predictive
analysis output for future analysis
Deep Level Navigation that takes to the
appropriate subsequent screen
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Business Benefits Enabling Capabilities Building Blocks
Scenario
Overview
Business Data
Warehouse
Cube
Other Data
• Improved ability to take proactive actions, reducing unscheduled outages and overtime
• Improved customer satisfaction by reduction in forced outages , proactive and timely outage notification, and reduced time to repair
• Improved field crew utilization• Reduced loss of revenue due to forced outages
Detect chronic transformer overload condition, predict significant transformer life reduction, initiate work management ticket to correct or replace before failure.
• Complex Analytics • Advanced Reporting Tools• Asset sensing and instrumentation.• Historical data accessible for extended periods of
time.• Network connectivity is accurate and kept up to
date.
Web Information
Findings are entered into the model and the data analysts tweak the model and modify the predictive model as needed.
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Work orders for transformer inspections or replacement are issued .
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The data analysts build predictive models that are entered into the complex analytics engine . Transformers that match the modeled patterns are identified for inspection.
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Engineers, working with data analysts use data mining and complex analytics to develop correlations between factors including voltage variations, weather, and maintenance records .
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• Developer Report Authoring• Other Reporting Services• Complex Analytics• Data Mining Services• Data Management Services
Framework Use Case: Equipment Load Management
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Information Analytics FrameworkTechnical Building Blocks
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Information Analytics FrameworkTechnical Building Blocks – Gap Analysis
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Conceptual Data & Analytical FrameworkEnd-to-End Analytical Process
Adapted to utilities from SAS Fraud Framework
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Evolving Technology Data & Analytical Framework End-to-End Analytical Process
Situational Awareness
Systems of Systems Management
Advanced Simulations and Predictive Control
During our journey, we learned our original conceptual design was just the beginning. The look beyond requires even more sophistication to move us forward:• Situational
Awareness• Advanced
Simulations & Predictive Control
• Systems of System Management
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??
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Outage to Restoration Framework: Technical Building Blocks with gap assessment and closure from 2012 to 2020…
2015 20202012
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Bringing it all together through analytics…
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Electric OperationsAsset Life Cycle Management – Dashboard & Analytics
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• Identify Suspects: Analyze meter events, usage data and other enrichment data to deliver a prioritized list of suspects with a quantitative confidence level that a diversion occurred.
Diversion Analytics
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Diversion Dashboards
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Near-Real-Time View of Advanced Metering System Communications Systems: Situational Awareness in Telecoms Control Room
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Real-Time View Indicating Traffic Congestion with AlertsSituational Awareness in Telecom Control Room
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Real-Time Comms Dashboard in Use Today (Supporting High Data Rate)Situational Awareness in Telecom Control Center
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Traditional View of the Storm with Lightning: Streaming Information
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Meter Outage Events with No Matching Restoration & Length of OutageStreaming Meter Event Information
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Current Situational Awareness Release: PONs rolled up into Outage Cases (Circuit, Fuse, Local). Initial Crew visibility
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Real-Time Situational Awareness: Meters, Customers, Cases…9/13/2013 – Scattered Thunderstorms
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Real-Time Situational Awareness: Meters, Customers, Cases…8/16/2013 – Pop up late day severe thunderstorm and high winds, ~18:00
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Real-Time Situational Awareness: Meters, Customers, Cases…8/16/2013 – Pop up late day severe thunderstorm and high winds, ~22:00
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Near Real Time Outage Operational Dashboard (5 minute refresh rate)9/13/2013 – Scattered Thunderstorms
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Near Real Time Outage Operational Dashboard (5 minute refresh rate)9/13/2013 – Scattered Thunderstorms
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Near Real Time Outage Operational Dashboard (5 minute refresh rate)8/16/2013 – Pop up late day severe thunderstorm and high winds, ~18:00
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Achieving analytical and operational sophistication…intelligent design and maturity…
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Final thoughts to build the intelligent energy future…
Be “Intelligent Designers” and not “Requirement Evolut ionis t”o Creativity & Innovation Expected
Get ready!o “Increase leverage and tune” your core solution engines. Get them ready to be the “engines” of success
o Improve use & usability for internal users – help them move to the next level of performance to leverage the engines
o Turn the core “reporting” into interactive dashboards and information tools – enhance your current foundation
Customers – changes are on their way as new generati ons become “energy buyers”o Customer generations are and will be increasingly technology savvy and will demand the same from uso Customer facing simplification: easy interaction and personalized – “any time, any where, anything I need – simple”
Information Creates Value – next generation analytic s are hereo Information Value – next generation dashboard, correlation, user integration / ease of use / valuable
o Begin the analytical journey – correlation, intelligence, situational awareness, predictive modeling
o Build the analytics engine. High volume, high speed information management (processing, filtering, selecting, predicting, leveraging, modeling)
o Build, find, acquire or contract the talent for the future. Try new approaches to achieving results
Think to the futureo Solutions thinking, frameworks, have an IT strategy.
o What’s in your 2020 plan?
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