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.
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