Predicting Battery Lifetimes With Machine Learning

Credit to Author: U.S. Department of Energy| Date: Mon, 09 May 2022 11:00:59 +0000

Technique could reduce costs of battery development. Article courtesy of Argonne National Laboratory. By Jared Sagoff Imagine a psychic telling your parents, on the day you were born, how long you would live. A similar experience is possible for battery chemists who are using new computational models to calculate battery lifetimes based on as little as […]

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Successful Startup Buzz Solutions Automates Assessment Of Power Industry Drone Inspections

Credit to Author: Michael Barnard| Date: Sat, 09 Apr 2022 11:00:25 +0000

Drone inspecting transmission lineBuzz Solutions is a successful cleantech startup that automates analysis of drone inspection images for the power industry on its platform-as-a-service.

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Buzz Solutions Takes Out 50% Of Grid Inspection Image Effort & Duration

Credit to Author: Michael Barnard| Date: Sat, 02 Apr 2022 11:00:24 +0000

Drone inspects transmission towerThe data volumes are staggering, the need to inspect them is increasing significantly, and there aren’t enough people to do the work. Enter Buzz Solutions. They save 50% of image assessment time today, and are trending to 80% of effort savings.

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Predicting the Future? There’s an App for That

Credit to Author: POWER| Date: Mon, 03 Feb 2020 05:29:52 +0000

The post Predicting the Future? There’s an App for That appeared first on POWER Magazine.

Power plant operators are turning to predictive maintenance applications to monitor equipment and collect performance data. Asset management systems, using artificial intelligence and other methods, are part

The post Predicting the Future? There’s an App for That appeared first on POWER Magazine.

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Predicting the Future? There’s an App for That

Credit to Author: POWER| Date: Mon, 03 Feb 2020 05:29:52 +0000

The post Predicting the Future? There’s an App for That appeared first on POWER Magazine.

Power plant operators are turning to predictive maintenance applications to monitor equipment and collect performance data. Asset management systems, using artificial intelligence and other methods, are part

The post Predicting the Future? There’s an App for That appeared first on POWER Magazine.

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Predicting the Future? There’s an App for That

Credit to Author: POWER| Date: Mon, 03 Feb 2020 05:29:52 +0000

The post Predicting the Future? There’s an App for That appeared first on POWER Magazine.

Power plant operators are turning to predictive maintenance applications to monitor equipment and collect performance data. Asset management systems, using artificial intelligence and other methods, are part

The post Predicting the Future? There’s an App for That appeared first on POWER Magazine.

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Finding Climate Change Needles In Climate Haystacks Using Machine Learning

Credit to Author: Michael Barnard| Date: Wed, 29 Jan 2020 22:00:37 +0000

machine learningMachine learning can find patterns that are much more difficult to predict or analyze, and find predictive value in massive data sets when humans can’t discern them. But human’s have neural nets too, goopy ones between our ears, and the practice of hypothesis-test-assess continues to yield value without any intelligence of the artificial sort

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Birds & Oceans & Wildfires, Oh My! How Machine Learning Is Changing Climate Research

Credit to Author: Michael Barnard| Date: Sat, 25 Jan 2020 23:35:52 +0000

The varied techniques and technologies in the category of machine learning have become much more accessible to many more researchers and are enabling massive gains in climate and environmental research. Global policy and local budgetary and response practices are increasingly informed by this transformative approach. 

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Researchers In US & China Use Machine Learning To Make Better Solar Panels

Credit to Author: Michael Barnard| Date: Sat, 25 Jan 2020 21:37:36 +0000

Machine learning is helping researchers find the highest probability combinations for more efficient and cheaper solar technology, something which will benefit everyone in the world

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