The Soft Grid 2013-2020: Big Data & Utility Analytics for Smart Grid
Greentech Media, Inc, December 2012, Pages: 133
With the introduction of big data and analytics to the utility industry, the potential of smart grid has shifted dramatically from the original aim of adding a myriad of new applications toward a complete re-invention of the utility business. We are now moving into a market where the spotlight will be on the data analytics software that will allow utilities to track, visualize and predict -- the core elements of what GTM Research calls, The Soft Grid.
In terms of market adoption, GTM Research forecasts cumulative global spending on smart-grid-related analytics to top $20.6 billion between the years 2012 and 2020, with an annual spend of $3.8 billion globally in the year 2020. We estimate that for utilities deploying these technologies, the achieved return on this investment will exceed $121.8 billion globally over the same nine-year time period.
Driving growth are data technologies, ranging from open-source data management platforms like Hadoop, to massively parallel processing (MPP) big data appliances, to predictive analytics now catching fire in every industry, to the cost improvements and enhanced performance of underlying data storage and infrastructure layer. Supporting this shift is a rich ecosystem of vendors. While the biggest names in IT are positioning themselves to be at the head of the class, it is becoming apparent that there will be several seminal companies that will be launched in this Soft Grid space, to which utilities will look for new products and services.
This 133-page report is the first of its kind to take a competitive and strategic look at the smart grid market's next big growth market.
1. EXECUTIVE SUMMARY AND KEY FINDINGS
1.1 Executive Summary
1.2 Key Findings
2. THE EMERGENCE OF THE SOFT GRID
2.1 2006-2011: Installing The Communications And Infrastructure Layers
2.2 Big Data And Analytics: The New Paradigm
2.2.1 Utilities’ Primary Domains For Analytics
2.2.2 New Analytics Terms For Utilities
2.3 Ten Trends And Predictions For Soft Grid
2.4 Utilities’ Existing And Evolving IT Architechure Challenges
3. BIG DATA AND ANALYTICS
3.1 Big Data: The Next Strategic Initiative For Utilities
3.1.1 Amassing Smart Meter and Other Grid Asset Data
3.2 Brief History Of Big Data
3.2.1 The Birth Of Google MapReduce
3.2.2 Big Data’s Growth
3.2.3 Utilities’ Big Data Challenge
3.2.4 HADOOP
3.2.4.1 Structured Vs. Unstructured Data
3.2.4.2 Relational Databases Vs. Hadoop
3.2.5 In-Memory Databases And In-Memory Analytics
3.3 Utilities’ Antiquated Viewpoint
3.3.1 Top 10 Smart Grid Drivers Of Big Data And Analytics
3.4 Design Strategy For Utiliities’ Migration To Smart Grid And Big Data
3.4.1 Define The Scope Of Your Utility’s Needs
3.4.2 Identify All Necessary Components
3.4.3 Create Actionable Intelligence
3.5 Global Market Forecast For Smart Grid Analytics
4. UTILITIES DEPLOYING ANALYTICS
4.1 Utilities’ Limited Experience Using Analytics
4.2 Solution Gaps: List Of Analytics
4.3 Utility Case Studies
4.3.1 Oklahoma Gas & Electric (OGE)
4.3.2 Oncor
4.3.3 Southern California Edison (SCE)
4.3.4 Burlington Hydro (BHI)
4.3.5 San Diego Gas & Electric (SDGE)
4.4 Doe Investement Grant Winners
4.4.1 Centerpoint Energy
4.4.2 PECO
4.4.3 Florida Power And Light (FPL)
5. VENDOR PROFILES AND COMPARATIVE ANALYSIS
5.1 Introduction
5.2 Vendor Taxomony And Vendor Rankings
5.2.1 Infrastructure And Virtualization Layer
5.2.2 Data Management And Movement Layer
5.2.2.1 Current Overview: Where Vendor Solutions Are Today
5.2.3 Analytics and Applications Layer
5.3 Vendor Profiles And Analyst Comments
5.3.1 Accenture
5.3.2 Cisco
5.3.3 Ecofactor
5.3.4 Ecologic Analytics
5.3.5 EMC
5.3.6 Enernoc
5.3.7 Hortonworks
5.3.8 IBM
5.3.9 Itron
5.3.10 Opower
5.3.11 Oracle
5.3.12 SAP
5.3.13 SAS
5.3.14 Silver Spring Networks
5.3.15 Space-Time Insight
5.3.16 Tendril
5.3.17 Teradata
5.3.18 Versant
LIST OF FIGURES
1. EXECUTIVE SUMMARY AND KEY FINDINGS
- Global Utility Analytics Spending, 2012-2020
- Leading Vendors in SoftGrid
- Utilities’ Three Primary Domains For Analytics
2. THE EMERGENCE OF THE SOFT GRID
- Leading Vendors’ Year of Entrance Into Smart Grid
- Asian Smart Grid Market Assessment for 2016
- Meters Deployed in the U.S., 2005-2011
- Traditional Analytics vs. Situational Intelligence
- Utilities’ Three Primary Domains For Analytics
- Examples of Grid Analytics
- Various Types of Consumer Energy Data
- Electricity Costs of Individual Home Appliances Shown on Utility Bill
- The Challenges Facing Utilities Today
- A Modern NOC: The California ISO
- Rich Visualizations Providing Real-Time Situational Awareness
- Traditional Utility vs. Modern Utility
- Coming to Terms With Analytics
- Important Capabilities of Analytics and Cloud
- Software-as-a-Service for the Four Major Domains of the Utility Business
- Managing the Smart-Grid Hype Cycle
- Four Major IT Architecture Challenges for Utilities
- Key Best Practices for Developing and Implementing Smart Grid Solutions
3. BIG DATA AND ANALYTICS
- How Data Is Measured
- An Industry Is Born
- Increasing Data and Complexity
- Smart Meter to Terabytes Conversion
- Big Data From Synchrophasors
- Obstacles to Embracing Big Data in U.S. Corporations
- Five Types of Smart Grid Data
- How MapReduce Moves Data
- Data Comparision, Depending On The Frequency Of Smart Meter Reads
- Big Data Is Made of Structured and Unstructured Information
- How Hadoop Is Architected
- How Hadoop Is Architected (Alternate Image)
- Hadoop Using Structured and Unstructured Data
- Common Use Cases for Hadoop
- Utilities’ Top 3 Obstacles to Implementing Hadoop
- Crossing The Adoption Chasm
- Who’s Using Hadoop Today
- Traditional Databases vs. Big Data
- Cultural/Organizational Opinions on Big Data
- Ten Drivers Which Will Move Utilites To Big Data And Analytics
- Example Data Strategy Questions for Utilities
- Data Fusion: Multi Factor Anomaly Assessment
- Global Utility Analytics Spending, 2012-2020
- U.S. Utilities Analytics Spend per Home
- U.S. Utility Analytics Spending and Percent Market Penetration, 2012-2020
- ROIs for Various Levels of Analytics; Weighted ROI Averages 2012-2020
- Global Utility Analytics Spending, 2012-2020 (Regions)
- Global Utility Analytics Spending, 2012-2020 (Region %)
- Cumulative Global Return On Investment (ROI) From Analytics
4. UTILITIES DEPLOYING ANALYTICS
- Key Stakeholders’ Understanding of the Value of Analytics
- Utilities’ Momentum in Analytics
- Utilities’ Assessment of Their Own Analytics Competencies
- The Importance of Analytics Ranked Across Utilities’ 4 Leading Functional Domains
- Analytics for Specific Smart Grid Challenges
- Analytics Coming To A Utility Near You
- Barriers to Implementing Software for Business Analytics
- Geospatial Views From Southern California Edison
- Detailed Geospatial View of Transformer Overloading
5. VENDOR PROFILES AND COMPARATIVE ANALYSIS
- Leading Vendors in Soft Grid
- Comparative Vendor Rankings for Infrastructure and Virtualization Layer
- Leading Players in Hadoop Enterprise Platform Solutions
- Big Data MPP Solutions Offered by Leading Players
- Recent Acquisitions of MPP Vendors by major IT Players
- Comparative Vendor Rankings for the Data Management and Movement Layer
- Three Primary Domains of Utility Analytics
- Leading Utility Smart Grid Analytics for 2012 -2015
- Comparative Vendor Rankings for Data Analytics and Application Layer
- Utilities’ Vendor Selection Criteria
- Opower’s Paper, Web And Mobile Solutions
- ABB
- Accenture
- Aclara
- Amazon Web Services
- Cisco
- Cloudera
- DATAllegro
- DataRaker
- Dell
- Echelon
- EcoFactor
- Ecologic Analytics
- ECOtality
- EMC
- eMeter
- Energate
- EnerNOC
- GE
- Greenplum
- Grid Net
- Hadapt
- Hewlett Packard (HP)
- Hortonworks
- IBM
- Intel
- Itron
- Karmasphere
- Landis+Gyr
- MapR
- Microsoft
- Nebula
- NetApp
- Netezza
- Opower
- Oracle
- OSIsoft
- ParAccel
- Platfora
- Power Analytics
- Rackspace
- SAP
- SAS
- Siemens
- Silver Spring Networks
- Space-Time Insights
- Splunk
- Tableau Software
- Telvent
- Tendril
- Teradata
- Ventyx
- Versant
- Vertica
- VMWare
Utilities Analyzed Include:
- Burlington Hydro
- CenterPoint Energy
- Florida Power & Light (FPL)
- Oklahoma Gas & Electric (OGE)
- Oncor
- PECO
- San Diego Gas & Electric (SDG&E)
- Southern California Edison (SCE)
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