By implementing a comprehensive data analytics program, utility companies can meet the continually evolving challenges of modern grids that are operationally efficient, while reconciling the demands of greenhouse gas legislation and establishing a meaningful return on investment from smart grid deployments.
Readable and accessible, Big Data Analytics Strategies for the Smart Grid addresses the needs of applying big data technologies and approaches, including Big Data cybersecurity, to the critical infrastructure that makes up the electrical utility grid. It supplies industry stakeholders with an in-depth understanding of the engineering, business, and customer domains within the power delivery market.
The book explores the unique needs of electrical utility grids, including operational technology, IT, storage, processing, and how to transform grid assets for the benefit of both the utility business and energy consumers. It not only provides specific examples that illustrate how analytics work and how they are best applied, but also describes how to avoid potential problems and pitfalls.
Discussing security and data privacy, it explores the role of the utility in protecting their customers’ right to privacy while still engaging in forward-looking business practices. The book includes discussions of:
- SAS for asset management tools
- The AutoGrid approach to commercial analytics
- Space-Time Insight’s work at the California ISO (CAISO)
This book is an ideal resource for mid- to upper-level utility executives who need to understand the business value of smart grid data analytics. It explains critical concepts in a manner that will better position executives to make the right decisions about building their analytics programs.
At the same time, the book provides sufficient technical depth that it is useful for data analytics professionals who need to better understand the nuances of the engineering and business challenges unique to the utilities industry.
Table of Contents
THE TRANSFORMATIVE POWER OF DATA ANALYTICS
Putting the Smarts in the Smart Grid
The Imperative for the Data-Driven Utility
Big Data: We’ll Know It When We See It
What Are Data Analytics?
The Data Analytics Infrastructure
Starting from Scratch
Mind the Gap
A Personal Case Study
Ouija Board Economics
Business as Usual Is Fatal to the Utility
To Be or Not to Be
Finding Opportunity with Smart Grid Data Analytics
Building the Foundation for Data Analytics
Perseverance Is the Most Important Tool
"It’s Too Hard" Is Not an Answer
Building the Analytical Architecture
The Art of Data Management
Managing Big Data Is a Big Problem
The Truth Won’t Set You Free
One Size Doesn’t Fit All
Solving the "Situation-Specific" Dilemma
The Build-Versus-Buy War Rages On
When the Cloud Makes Sense
Change Is Danger and Opportunity
Transforming Big Data for High-Value Action
The Utility as a Data Company
Creating Results with the Pareto Principle
The Business of Algorithms
Just in Time
Remember the Human Being
The Problem with Customers
The Transformation of the Utility
Bigger Is Not Always Better
Assessing the Business Issues
Start with a Framework
THE BENEFITS OF SMART GRID DATA ANALYTICS
Applying Analytical Models in the Utility
Understanding Analytical Models
What Exactly Are Models?
Warning: Correlation Still Does Not Imply Causation
Using Descriptive Models for Analytics
Using Diagnostic Models for Analytics
How Diagnostic Tools Help Utilities
An Optimization Model for the Utility
Toward Situational Intelligence
Moving Beyond Business Intelligence
Demand Response and Energy Analytics
Breaking Down Functional Barriers
Aligning the Forces for Improved Decision-Making
The Opportunity for Insight
Focus on Effectiveness
Visualizing the Grid
Distributed Generation Operations: Managing the Mix-Up
The Relationship Between Standards and Analytics
Extracting Value from Operational Data Analytics
Customer Operations and Engagement Analytics
Increasing Customer Value
Advanced Customer Segmentation
Call Center Operations
What’s in It for the Customer?
Enhanced Billing and Customer-Facing Web Portals
Home Energy Management
Analytics for Cybersecurity
Cybersecurity in the Utility Industry
The Threat Against Critical Infrastructure
How the Smart Grid Increases Risk
The Smart Grid as Opportunity for Dark Mischief
The Role of Big Data Cybersecurity Analytics
Predict and Protect
Global Action for Coordinated Cybersecurity
The Changing Landscape of Risk
IMPLEMENTING DATA ANALYTICS PROGRAMS FOR SUSTAINED CHANGE
Sourcing the Data
Intelligent Electronic Devices
Distributed Energy Resources
Working with a Variety of Data Sources
Big Data Integration, Frameworks, and Databases
This Is Going to Cost
The Costs of Low-Risk Approaches
Let the Data Flow
Hadoop Distributed File System
How Does This Help Utilities?
Other Big Data Databases
In-Memory or Main Memory Databases
Object-Oriented Database Management Systems
Time Series Database Servers
Spatial and GIS Databases
The Curse of Abundance
We Need Some Answers Here
How Long Does This Take?
Mining Data for Information and Knowledge
The Process of Data Extraction
When More Isn’t Always Better
Running for Performance
Hadoop: A Single-Purpose Batch-Data Platform?
Complex Event Processing
Avoid Irrational Exuberance
Envisioning the Utility
Big Data Comprehension
Why Humans Need Visualization
Walking Toward the Edge
The Role of Human Perception
The Utility Visualized
Advancing Business Intelligence
Improving Customer Value
Making Sense of It All
A Partnership for Change
With Big Data Comes Big Responsibility
Abandon All Hope, Ye Who Enter Here?
Privacy, Not Promises
The Role of Metadata
The Utility of the Future Is a Good Partner
Carol L. Stimmel began working with "big data analytics" in 1991 while hacking code and modeling 3D systems for meteorological research—years before that combination of words ever became buzzword compliant. In those 23 years, she has spent the last 7 focusing on the energy industry, including smart grid data analytics, microgrids, home automation, data security and privacy, smart grid standards, and renewables generation. She has participated in emerging technology markets for the majority of her career, including engineering, designing new products, and providing market intelligence and analysis to utilities and other energy industry stakeholders.
Carol has owned and operated a digital forensics company, worked with cutting-edge entrepreneurial teams; co-authored a standard text on organizational management, The Manager Pool; and held leadership roles with Gartner, E Source, Tendril, and Navigant Research. She is the founder and CEO of the research and consulting sustainability company, Manifest Mind, LLC, which brings rigorous, action-based insight to advanced technology projects that create and maintain healthy ecosystems for people and the environment. Carol holds a BA in Philosophy from Randolph-Macon Woman’s College.
Featured Author Profiles
This book provides an in-depth analysis that will help utility executives, as well as regulators, investors, large power users and entrepreneurs, understand some of the tectonic changes coming to an industry that from the outside can seem impervious to change. Making sense of a chaotic future, Carol charts a path where everyone can benefit.
–Amit Narayan, PhD, CEO, AutoGrid
After more than a century providing a mission-critical resource to consumers around the world, traditional energy providers are realizing the power of big data and predictive analytics. Not only will adopting these technologies improve the transmission and distribution of energy, it more importantly will enable providers to adopt a services mentality. In her exceptional book, Carol examines these trends and breaks down very complex topics into prose that is easy to understand. I highly recommend this book to anyone in the energy industry looking to grow and evolve their business.–Adrian Tuck, CEO, Tendril
Carol Stimmel defines utility data analytics as the application of techniques within the digital energy ecosystem that are designed to reveal insights that help explain, predict, and expose hidden opportunities to improve operational and business efficiency and to deliver real-world situational awareness. She then provides the framework, methodology, insight, and experiential observations to help utilities conceive, plan, implement, enhance, and sustain the imperative smart grid analytics required to achieve the inexorable change taking place in the energy delivery ecosystem. Volume, velocity, variety, and value—the characteristics ascribed to ‘big data’ will aptly characterize the reader's and practitioner's view of Ms. Stimmel's book.
–Ivo Steklac, GM Residential & Commercial Energy Solutions, SunPower Corporation
The author has done an excellent job of leveraging her experience in the industry and her strong technical background to create a book that is a very easy-to-read, useful tool for anyone trying to get started in applying big data analytics to the utility industry. She not only provides the reader with a solid base knowledge and background but provides solid examples of how data analytics can be applied within a utility environment and the advantages that can be gained by doing so.–Ron Gerrans, CEO, Genus Zero and former CEO, E Source