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Tag: Fundamental Series on Building Analytics

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Fundamental Series on Building Analytics: How Automated Fault Detection and Diagnostics Complement Energy Information Systems

After careful analysis and consultation, an energy manager at a large corporation has set an energy reduction target of 190 ekWh/m2 (18 ekWh/ft2) in her regional portfolio, a goal to be achieved within the next four years. Her team has prepared…

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Fundamental Series on Building Analytics: How can Predictive Analytics Help Save Energy & Improve Occupant Comfort?

Since time immemorial people have been trying to predict the future. “From the weather forecast to the time the GPS says we’ll reach our destination, our lives are built around futuristic fictions.” Popular Science, Max Saunders/The Conversation, August 22, 2019 In…

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Fundamental Series on Building Analytics: Artificial Intelligence, Machine Learning, Predictive Analytics, Deep Learning… What’s the Difference?

It would be difficult nowadays not to come across a piece of news, article or posting related to Artificial Intelligence, or AI. Whether it is smart appliances and home automation systems with intelligent digital assistants, autonomous vehicles, advanced medical diagnostics, virtual…

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Fundamental Series on Building Analytics: How to evaluate the different Automated Fault Detection and Diagnostics technologies available today – Part 1

Our previous blog in this series ended with the question, “why implement fault detection and diagnostics in buildings?” Whether you are already convinced that your organization needs to jump on the Automated Fault Detection and Diagnostics (AFDD) bandwagon, or you are…

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Fundamental Series on Building Analytics: What is Fault Detection and Diagnostics?

We have all experienced the frustration of not having our household appliances or electronic devices work as intended. During those times, we wish we would quickly know what is wrong, learn how to fix them, and move on with our lives….

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