ERCOT 2003 UFE ANALYSIS By William Boswell & Carl Raish AEIC Load Research Conference July 13, 2005.
C onsistent Data For Faster & Better Decision Making P RESENTED AT AEIC L OAD R ESEARCH A NNUAL M...
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Transcript of C onsistent Data For Faster & Better Decision Making P RESENTED AT AEIC L OAD R ESEARCH A NNUAL M...
Consistent Data For Faster & Better
Decision Making
PRESENTED AT AEIC LOAD RESEARCH ANNUAL MEETING
MYRTLE BEACH, SOUTH CAROLINA
JULY 2005
By
SYED ALEEM
DTE ENERGY
LLOADOAD RRESEARCHESEARCH DDATAATA MMARTART VVISIONISION
Load Research groups have continuously Load Research groups have continuously
struggled to receive timely and accurate struggled to receive timely and accurate
data from corporate billing systems. data from corporate billing systems.
Quality billing system data is in greater Quality billing system data is in greater
demand than ever.demand than ever.
BILLING DATA – A VALUABLE RESOURCEBILLING DATA – A VALUABLE RESOURCE
Conceptual Overview of Data MartConceptual Overview of Data Mart
Role of LDMRole of LDM
Benefits of LDMBenefits of LDM
Drivers to LDM DevelopmentDrivers to LDM Development Implementation Implementation
(Solution/Security/Maintenance)(Solution/Security/Maintenance)
DeliverablesDeliverables
SuccessSuccess
VisionVision
ConclusionConclusion
TOPIC OF DISCUSSION
A data mart is a collection of subject A data mart is a collection of subject
specific transaction data contained in the specific transaction data contained in the
corporation’s multiple operational or corporation’s multiple operational or
production systems.production systems.
DData marts are developed with a focused ata marts are developed with a focused
objective that helps departments to objective that helps departments to
strategize based on analysis of past trends strategize based on analysis of past trends
and experiences.and experiences.
CONCEPTUAL OVERVIEW
What is a Data mart?
From Support Systems
LDM* Customer Info* Site Info * SIC Code* Energy* Demand* Revenues
From Billing Systems
* Load Factor Calc.* Hours Use Calc.* Demands Calc Using DCT.* Choice To Bundled Relationships
Calculated Values
* Samples Interval Demand Data* Billing Interval Demand Data * Meter Data
* Margin Analysis* Detailed SIC Classification Analysis* Detailed Class Analysis* Bill Frequencies* Billing Determinants
Value Added
LDM Dataflow
ROLE OF LDM
Benefits can be categorized into:Benefits can be categorized into:
Business BenefitsBusiness Benefits
Operational BenefitsOperational Benefits
Information Technology BenefitsInformation Technology Benefits
BENEFITS OF LDM
Easily Accessible DataEasily Accessible Data
Analyze Large Amount of DataAnalyze Large Amount of Data
Consolidated DataConsolidated Data
Increased ProductivityIncreased Productivity
Consistent View of DataConsistent View of Data
BUSINESS BENEFITS
Relieves Production Systems of Relieves Production Systems of
Performing Decision SupportPerforming Decision Support
Summarized DataSummarized Data
Unlimited Access to UsersUnlimited Access to Users
OPERATIONAL BENEFITS
Flexible Architecture for EnhancementsFlexible Architecture for Enhancements
Less Load on Production SystemsLess Load on Production Systems
Eliminates Enhancements to Production Eliminates Enhancements to Production
SystemsSystems
High Quality DataHigh Quality Data
INFORMATION TECHNOLOGY BENEFITS
DRIVERS TO LDM DEVELOPMENT
Customer Information & Billing Data Files
LRDB
Residential & Small Commercial
Customers Billing System
LR Extract Architecture
Analysis of Existing ProcessAnalysis of Existing Process
Identify Key Users/RequirementsIdentify Key Users/Requirements
Identify Subject AreasIdentify Subject Areas
Perform Data AnalysisPerform Data Analysis
Database Physical DesignDatabase Physical Design
Extraction & Loading ProcessExtraction & Loading Process
SecuritySecurity
MaintenanceMaintenance
IMPLEMENTATION
Billing DeterminantsBilling Determinants
Bill FrequencyBill Frequency
Class AnalysisClass Analysis
Unbilled RevenuesUnbilled Revenues
Individual Customer/Site AnalysisIndividual Customer/Site Analysis
Customer CountsCustomer Counts
Billed Usage and Summed Interval Billed Usage and Summed Interval
Demands ValidationDemands Validation
Class Average DemandsClass Average Demands
DELIVERABLES
Major Contributor toMajor Contributor to DTE’s Three Rate CasesDTE’s Three Rate Cases
Electric Rate Case Interim Order Electric Rate Case Interim Order
ImplementationImplementation
PSCR and Equalization Adjustments PSCR and Equalization Adjustments
RefundsRefunds
Michigan Electric Choice Legislation reform Michigan Electric Choice Legislation reform
effortsefforts
AES Collaborative MeetingsAES Collaborative Meetings
Provides information to Pricing, Cost of Provides information to Pricing, Cost of
Service, Service, Forecasting, Legislative and Forecasting, Legislative and
Marketing TeamsMarketing Teams
SUCCESS
LDM is a vision of the Load LDM is a vision of the Load
Research team to be self reliant Research team to be self reliant
and have access to consistent and have access to consistent
and reliable billing dataand reliable billing data
VISION
Sample DesignSample Design
Class AnalysisClass Analysis
(Total System Analysis)(Total System Analysis)
Allocation Schedule Allocation Schedule
DevelopmentDevelopment
Substation Load AnalysisSubstation Load Analysis
Data Elements DescriptionData Elements Description
VISION
Enhancements:Enhancements:
LDM is supporting Load LDM is supporting Load
Research’s goal to be a leader Research’s goal to be a leader
in formulating corporate in formulating corporate
initiatives and strategiesinitiatives and strategies..
CONCLUSION