Energy Storage: The Safety Net for Renewables

July 1, 2018 Battery Storage, Energy Storage, Data Access, Models and Simulations

The knock on renewables from the very beginning has been the lack of contingencies for peak energy demand. What happens when there is no wind, or when the sun doesn’t bother to shine? When renewables were a small percentage supplier of energy to the grid, this was a problem to be solved at some later […]

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What’s SCADA?

June 1, 2018 scada, iot, industrial analytics

No, SCADA (“Skay-duh”) is not a large insect that breeds every 17 years and makes a lot of noise outside your window. Nor is it an unwanted skin disease from the tropics. Those in the industrial data world know that SCADA (supervisory control and data acquisition) is a key architecture that helps operators run a […]

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Why Predictive Analytics Has Finally Arrived for Renewables

May 1, 2018 renewables, investment, payback analysis, analytics

Up to now the renewable energy industry has used data chiefly as a monitoring tool. Gearboxes in wind turbines equipped with sensors report back vibrational and efficiency data. Solar mirror or solar photovoltaic (PV) farms might relay back real-time position and movement as panels follow the sun. But the real payoff in the data access […]

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How does a gearbox fail?

March 1, 2018 Technology, Analytics

While so much of the world we live in now is digital, there are still millions of mechanical things that directly affect our lives. They are spinning, pumping and moving on hinges, and most of them depend on a series of gearboxes that in turn depend on lubrication and bearings to keep moving. What happens […]

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What is Condition-Based Maintenance?

November 2, 2017 Digital Twin, Unstructured Data, Wind Farm, Advanced Analytics

Condition-based maintenance (CBM) is a maintenance strategy that monitors and assesses the condition of a physical asset. CBM is based on the premise that asset maintenance should be scheduled when performance indicators show signs of decline or indicate potential failure. When is CBM performed? CBM is performed only if a decrease in equipment performance has […]

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Introducing the Industrial Digital Twin

October 19, 2017 IoT, Digital Twin, IIoT, Big Data

Industries are rapidly transforming themselves in this sophisticated age of smart machines. Data is omnipresent in this new world, and understanding the value hidden in that data will yield significant strategic business advantages. For example, The Internet of Things (IoT) is enabling connected, sensor-embedded machines that can talk to each other. Using telemetry technology, sensor […]

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What’s a Digital Twin?

May 1, 2017 Digital Twin, Advanced Analytics

There are about as many definitions of “digital twin” in the business world as there are pairs of human twins in the world. But we’re up for a challenge, let’s give it a try. Wikipedia isn’t always a bad place to start: “Computerized companions of physical assets… use data from sensors on physical objects to […]

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Aureum Sets the Table for Advanced Analytics

March 15, 2017 Analytics, Anomaly Detection

Q: What’s the connection between Aureum, a data access platform, and all these applications and data processes that are supposed to solve business problems? For example, how should we understand model orchestration and advanced analytics in this context. A: The short answer is that everyone makes the same basic mistake: They assume that the precondition […]

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Planning for Data Access — Disk Service Time

December 15, 2016 Performance, Disk Time

When we look at high-performance disks, why do the fastest disks only have 10 percent capacity when compared to high-capacity disks? They are not using older technology and they have the same platters, but use only a fraction of the cylinders in order to constrain the range of arm movements. Why is this limitation important? Performance […]

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Stats Talk: An OCR Experiment and Preserving Validity in Adaptive Data Analysis

November 15, 2016 OCR, Data Validity, Analytics

One of the fundamental principles in statistics is that you must design the experiment in full detail before you start collecting any data and analyze it. This is also known as preregistration and the analysis is called nonadaptive. Unfortunately, in the heat of the battle this is often forgotten, sometimes on purpose because it can […]

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