By Carol L. Stimmel
By means of imposing a accomplished facts analytics software, software businesses can meet the always evolving demanding situations of contemporary grids which are operationally effective, whereas reconciling the calls for of greenhouse gasoline laws and setting up a significant go back on funding from clever grid deployments.
Readable and available, mammoth information Analytics suggestions for the clever Grid addresses the wishes of employing large information applied sciences and methods, together with vast facts cybersecurity, to the severe infrastructure that makes up application grid. It provides stakeholders with an in-depth knowing of the engineering, enterprise, and shopper domain names in the energy supply market.
The booklet explores the original wishes of electric software grids, together with operational know-how, IT, garage, processing, and the way to rework grid resources for the good thing about either the application company and effort shoppers. It not just offers particular examples that illustrate how analytics paintings and the way they're top utilized, but additionally describes easy methods to steer clear of power difficulties and pitfalls.
Discussing protection and information privateness, it explores the function of the software in preserving their shoppers’ correct to privateness whereas nonetheless accomplishing forward-looking company practices. The ebook contains discussions of:
- SAS for asset administration tools
- The AutoGrid method of advertisement analytics
- Space-Time Insight’s paintings on the California ISO (CAISO)
This ebook is a perfect source for mid- to upper-level application executives who have to comprehend the enterprise worth of shrewdpermanent grid facts analytics. It explains severe innovations in a way that might higher place executives to make the precise judgements approximately development their analytics programs.
At an identical time, the ebook presents adequate technical intensity that it's helpful for info analytics pros who have to higher comprehend the nuances of the engineering and enterprise demanding situations detailed to the utilities undefined.
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Additional resources for Big Data Analytics Strategies for the Smart Grid
Once analyzed, the processed data must be presented to users in a functional and low-friction manner so that it improves actions and outcomes. Even squeaky-clean data and advanced analytical processes amount to nothing if the resulting information cannot be understood by the users, if conclusions can’t be drawn, and if no action can be taken. 1 The Data Analytics Infrastructure The advent of big data is putting stress on the familiar approaches to data handling. Extract, transform, and load (ETL) processes have been the bread and butter of data warehousing since the banking and telecommunications industry first adopted them.
Nevertheless, what became obvious was that a collection of various self-contained units of functionality collected into services could be combined in many ways to create multiple unique applications to meet the needs of the API consumer. 6 The Build-Versus-Buy War Rages On No one is suggesting that utilities rush to deploy critical infrastructure or sensitive applications on the Amazon cloud. That’s not the point. The point is that there is plenty of solid evidence that a platform approach—using a robust API—is a flexible and secure approach that can accommodate the fluid requirements of data analytics applications.
Early big-data players are orienting their offerings toward more immediately lucrative opportunities such as the financial services industry, healthcare, government, and retail. The reason is obvious: The utility is slow moving and can be perceived as draconian. 3 Example of Sharing Components Through a Service Layer. 32 Big Data Analytics Strategies for the Smart Grid industry are difficult to cope with; application providers and integrators have a hard time identifying the key industry requirements that allow them to build cost-effective solutions.