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  • admin 9:51 am on May 17, 2017 Permalink
    Tags: , , , , , Utility   

    Discovery, Truth and Utility: Defining ‘Data Science’ 

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  • admin 9:51 am on November 21, 2015 Permalink
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    Will IoT & Analytics Really Make Full Automation Possible for Utility Power Networks? 

    There are now machines that have conquered the game of chess and starred on TV game shows. Soon we may even be able to chat and befriend them, a reality that perhaps isn’t too far off, when companies like Facebook are investing heavily in it to ensure secretive development on how its apps might be able to better help you find and communicate with your friends – automatically.

    What about in our Utility firms? Will we see machines roam more freely in the area of power network control? There is much debate around the level of automation that Internet of Things (IoT) based technologies, driven by analytics, will enable in network control, and over what timescales.

    But in reality, is full automation actually even possible?

    I’ve written in a previous blog post that today, analytics within the Utility networks business falls into three categories:

    • Distributed network solutions implemented on the network itself which have “productised” analytics at the heart of what they do;
    • Virtual control and monitoring solutions that continually run and assess the state of assets based on configurable analytics algorithms; and
    • Advanced analytics, and companies with “utilities big data” offers that integrate all data from across the Utility for analysis in conjunction with other relevant external data.

    Distributed network solutions” by their nature are automated, needing little human interaction. So this area is not contentious. But in “control and monitoring”, the idea of automation certainly is more contentious.

    So is full automation possible? In my opinion, “yes”, in theory at least. Although it may well be that automation is implemented very slowly given that installed physical infrastructure is a long way off managing and responding to the sophisticated control signals required, especially on low voltage networks.

    But we have to remember that culturally, this is a big deal. Network control is safety critical, and there will always be much that is unknown about how a power system might operate. full automation is never trusted enough to be implemented.

    Today virtual control and monitoring as described above is gaining traction, and helps engineers operate networks better. But this alone will not enable full automation. However, there is a trend emerging that challenges my own categorization of the use of analytics within the Utility networks business, which could lead us towards full automation. The three categories as I outline them above are merging.

    We are already seeing control and monitoring solutions emerging that can push analytics packets onto distributed assets real time, based on internal and external analytics triggers. Advanced analytics, and big data platforms are moving ever closer to real time, allowing more and more network data to be analysed in near real time to improve network operation, in combination with more parameters that a human could nominally apply manually.

    I believe that what we’re seeing is just the start. As the industry matures in its use of IoT, and analytics on the data from IoT, network analytics will only accelerate and become ever more intertwined. The way that analytics is performed today – separately – will become a thing of the past.

    Many in data and analytics talk about merging data from IT and OT systems for analytics purposes. Longer term, I see a single environment not only “doing analytics”, but gradually automating network operation, as well as the execution of many other businesses processes in the digital network business of the future. This is the latest potential of IoT for Utility power networks.

    Interested in discovering how IoT data can generate more value for your company when combined with business operations and human behavioural data? Read on.

    Iain Stewart is the principal utilities expert for Teradata in the EMEA region, with over 13 years of experience in utilities sector. Iain also has in depth experience of both smart metering and smart grids, including how these link to and support the wider sustainability agenda. Other areas of experience include renewable energy, and smarter cities. Connect with Iain Stewart on Linkedin.

    The post Will IoT & Analytics Really Make Full Automation Possible for Utility Power Networks? appeared first on International Blog.

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  • admin 9:51 am on November 16, 2015 Permalink
    Tags: , , , Utility   

    Big Data and the Road to the Digital Utility 

    I visited European Utility Week at the start of November. It’s always good value, as I seem to meet everyone I’ve ever known in my….ahem…25 years in the Utility business, during the three days of the conference. This year, the event began fantastically well. Chairing the opening sessions was Reinhard Brehmer, MD of Aspern Smart City Research. He handed over to a speaker from Engie (formerly GDF Suez). Next up was Siemens. They all had very interesting things to say, sure. But the other reason I thought it was such a great start is that each of those three businesses has become a Teradata customer in the past couple of years*.

    But my real point is not that the three keynotes were all Teradata customers, no matter how nice to see it was. Rather, I’d like to talk about something wider than that happy coincidence of three customers on stage in half an hour drew to my attention.   Something’s changed. Big data and analytics isn’t something to shout about any more. It’s something that many Utilities, Smart Cities and industry giants like Siemens and GE are actually doing.

    Having said that, there’s a long way to go until this industry is as mature in its analytics capabilities as, say, the telcos. But we’re undeniably on the path now. Utilities are investing in platforms, in applications and in people that can help them get new value from their data. They’re talking about the kinds of data-driven projects being delivered today. Pretty soon, all this data & analytics stuff will be considered Business As Usual.

    Were you at EUW last year? Everyone was a big data company. Everyone. I didn’t check, but I’d guess that even the caterers had something about big data in their publicity. Some of those shouting big data had substance to their offerings. For example, Teradata actually is a big data company. And some, well…not so much. It seems that this year, the market has grown up a little bit. It may be that some of the more smoke-and-mirrors offers are no longer around. Some will have developed what they do – and say – into something a bit more subtle than the brash “hey, we’re big data too” message of recent times. And some, will have sold their wares to actual customers. All of that adds up to a more reasoned approach at EUW this year, backed up by experience and real use-cases.

    Now, we can get on with using data & analytics to solve problems and find new value. We all understand that the industry is facing unprecedented levels of disruption. It’s not like we have to go out of our way to find challenges. As Utilities start to adopt a data-driven approach, we can look at some of those challenges differently. More effectively. More informedly.   From addressing the challenges of an ageing workforce to understanding customer value to being ready to take advantage of the new insights 35 million smart meters could deliver, Utility companies are moving on. The digital transformation we’re all hearing about is actually happening…… Now.

    I’m glad to see how far we’ve come already. And, in Utilities’ often glacial timescales, in just the blink of an eye! Let’s make sure we continue down the path to the data-driven, 21st Century digital Utility.

    If you’re on this journey and would like to know more about what any of the customers I’ve mentioned above, or indeed what other EUW attendees such as Centrica or E.ON or others are doing with their data and with their Teradata platforms, I’d be very happy to hear from you.

    *Siemens is of course also a very important partner of ours, not just a customer.

    David Socha is Utilities Practice Manager at Teradata International. He works with local and account-focused teams to bring Teradata’s unrivalled data and analytics capabilities and knowledge to the International Utilities sector. Connect with David Socha on Linkedin.

    The post Big Data and the Road to the Digital Utility appeared first on International Blog.

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  • admin 9:52 am on July 24, 2015 Permalink
    Tags: , , , , Utility   


    by Brian JoreQ2-15_industry-eye

    Utility companies face an increasingly complex matrix of challenges in their quest to generate and deliver power efficiently. Traditional concerns such as reducing operating costs, ensuring reliability and meeting regulatory requirements are layered with myriad new demands in an ever-changing landscape.

    While automation has vastly streamlined data collection processes, utility operations and financial management teams are under relentless pressure to enhance and protect revenues, lower maintenance costs and reduce unnecessary debt write-offs. Utilities collect massive amounts of data, yet despite investments in applications and analytics tools, many struggle to transform their information into actionable insights that generate real value across the business spectrum.

    Invigorate Operations and Energy Delivery

    Analytic solutions, along with an industry-specific understanding of how to adapt the solutions to the needs of an individual utility, support tightly integrated initiatives that can produce results. Those results are prominent in four key areas:

    • Operations and financial management
    • Energy efficiency and demand response
    • Load management and power quality
    • Regulatory and rate design

    By uncovering gaps in operations and understanding their financial impact, sophisticated data integration and advanced analytics enable utility companies to sift through meter, billing and collections information. This allows them to quickly identify potential problems and gain a better understanding of which alarms and service orders demand priority, and which can wait. As a result, utilities can operate more efficiently and reduce costs.

    Similarly, energy efficiency and demand response programs have become strategic concerns for utility companies. Most are keenly aware of load reduction targets set by regulatory bodies, and utilities would rather manage their current resources effectively than build budget-busting new power plants.

    Integrated data and analytics allow better customer segmentation, enabling utilities to foster increased customer participation in efficiency and demand response programs. Organizations can also better measure their programs’ performance and metrics. Utilities benefit from stronger revenues, enhanced insights for regulatory bodies, and even improved load management and power quality.

    Shed Light On Forecasting and Costs

    Organizations are faced with the urgent need to improve grid efficiency while ensuring customers and regulators of the reliability and availability of energy. Data and analytics solutions help with that challenge. They provide the insights needed to improve load forecasting and capacity planning, which reduces power generation costs.

    Another opportunity is the correlation of “meter events,” such as power outages, for improved power quality and delivery. To better manage outages, a utility can leverage data from smart meters and network management systems for outage verification or to incorporate fleet management and geographic information systems to restore power.

    By realizing and optimizing the benefits of integrated data, utilities also gain more control over load management and power quality to contain costs and enhance brand reputation. In addition, reliable, current data improves load profiling, rate case performance and rate design. Moreover, the information allows a better understanding of revenue variances while shedding light on opportunities for new rates and improved margins.

    Utilities can also gain insights into pricing. This information can support numerous adjustments that help organizations apply price variables to meter or customer groups to understand how margins are impacted by customer segments, such as low income households or small businesses.

    No More Blind Spots

    Combining data with the power of analytics provides business units with an end-to-end view of the utility that eliminates blind spots. This view—which delivers increased transparency and shared insights—enables departments within any utility to pursue key initiatives both individually and jointly.

    Utilities can tailor approaches that source and integrate data according to industry best practices. The companies can then implement solutions that foster stability and growth.

    Brian Jore is a director of Business Consulting for Teradata. He works with organizations to increase business insights through analytics and BI. 

    Read the this article and more in the Q2 2015 issue of Teradat
    a Magazine

    The post UTILITY COMPANIES GET ENERGIZED WITH INTEGRATED DATA appeared first on Magazine Blog.

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  • admin 9:55 am on June 29, 2015 Permalink
    Tags: , , PoweringUp, Utility   

    Powering-Up Utility Insights with Analytics 

    From reducing operating costs to meeting regulatory requirements, today’s Utilities are faced with a new wave of business challenges.

    One major business shift is the increasing amount of data collection, as well as the investment in applications and tools to leverage that data. However, many Utilities companies are behind the curve their ability to integrate that data in meaningful and measurable ways.

    So, what are the prime areas where Teradata sees opportunity to drive change with data? Here are four major areas in which Utilities companies can use analytic insight to make big gains:

    Operations and Financial Management

    Uncovering operational inefficiencies is just the tip of the iceberg to an increased view of your company’s finances. By integrating data from across operations, you can better invest funds across the business. Additionally, this can help in service investments and priorities—yet another cost benefit.

    Energy Efficiency and Demand Response

    Increased customer participation in EE and DR programs depend on improvements in customer segmentation, program performance, and measurement. Such improvements lead to reduced revenue losses, enhanced insight for regulatory bodies and even improved load management and power quality.

    Load Management and Power Quality

    By using the increased transparency and insights enabled by data and analytics, Utilities can gain remarkable control over load management and power quality. That control can reduce generation costs, head off potentially large capital outlays, and increases revenue.

    Regulatory and Rate Design

    In order to maintain healthy margins, Utilities require readily accessible and accurate data. This information is not only crucial for the company itself but for regulatory commissions as a means to justify rate design. By providing insight into the accuracy of those variances by customer and rate types, utilities can put in top line adjustments as appropriate.

    An experienced leader in data-driven technology is an important partner in applying these ideas and developing an appropriate plan to address your company’s challenges.

    Read our new Utilities Point-of-View on how you make your data pay dividends here.

    When you know more, you can do more. Teradata.com/Utilities

    The post Powering-Up Utility Insights with Analytics appeared first on Industry Experts.

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  • admin 9:44 am on November 15, 2014 Permalink
    Tags: , , , Utility   

    Smart Analytics for the Utility Sector 

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