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This smart thermostat could learn optimal temperature quickly
Knowridge Science Report ^ | December 22, 2020 | MIT

Posted on 12/25/2020 4:39:33 AM PST by TigerLikesRoosterNew

A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.

Buildings account for about 40 percent of U.S. energy consumption, and are responsible for one-third of global carbon dioxide emissions.

Making buildings more energy-efficient is not only a cost-saving measure, but a crucial climate change mitigation strategy.

Hence the rise of “smart” buildings, which are increasingly becoming the norm around the world.

Smart buildings automate systems like heating, ventilation, and air conditioning (HVAC); lighting; electricity; and security.

Automation requires sensory data, such as indoor and outdoor temperature and humidity, carbon dioxide concentration, and occupancy status.

Smart buildings leverage data in a combination of technologies that can make them more energy-efficient.

Since HVAC systems account for nearly half of a building’s energy use, smart buildings use smart thermostats, which automate HVAC controls and can learn the temperature preferences of a building’s occupants.

In a paper published in the journal Applied Energy, researchers from the MIT Laboratory for Information and Decision Systems (LIDS), in collaboration with Skoltech scientists, have designed a new smart thermostat which uses data-efficient algorithms that can learn optimal temperature thresholds within a week.

“Despite recent advances in internet-of-things technology and data analytics, implementation of smart buildings is impeded by the time-consuming process of data acquisition in buildings,” says co-author Munther Dahleh, professor of electrical engineering and computer science and director of the Institute for Data, Systems, and Society (IDSS). Smart thermostat algorithms use building data to learn how to operate optimally, but the data can take months to collect.

To speed up the learning process, the researchers used a method called manifold learning, where complex and “high-dimensional” functions are represented by simpler and lower-dimensional functions called “manifolds.”

(Excerpt) Read more at knowridge.com ...


TOPICS: Chit/Chat; Computers/Internet
KEYWORDS: machinelearning; thermostat
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To: TigerLikesRoosterNew

>>Smart thermostats did even more remarkable feat. They stole the election for Biden. <<

I was waiting...


41 posted on 12/25/2020 7:54:44 AM PST by devane617 (...)
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To: nevergore
Once the building becomes self-aware, it will realize the most efficient way to regulate energy consumption is to eliminate humans.....

Love the Skynet reference!
42 posted on 12/25/2020 7:57:34 AM PST by rockvillem
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To: TigerLikesRoosterNew

How much carbon emissions do volcanoes account for? And how much do they account for when they explode?

Stupid article towing the global warming hoax line.


43 posted on 12/25/2020 8:23:26 AM PST by zaxtres (`)
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To: TigerLikesRoosterNew

“...responsible for one-third of global carbon dioxide emissions...”


Stopped reading there.


44 posted on 12/25/2020 8:49:24 AM PST by logi_cal869 (-cynicus the "concern troll" a/o 10/03/2018 /!i!! &@$%&*(@ -)
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To: KarlInOhio

The biggest problem is women in the workplace. Every office I had the misfortune of working in had the middle age battle axes of HR who demanded it be 85 degrees winter or summer.


45 posted on 12/25/2020 10:01:37 AM PST by Organic Panic (Flinging poo is not a valid argument)
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To: Governor Dinwiddie

How smart does a light bulb need to be? Seems the 100 year old logic switch of “On or Off” is plenty smart.


46 posted on 12/25/2020 10:03:20 AM PST by Organic Panic (Flinging poo is not a valid argument)
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To: KarlInOhio

“If employees are bringing in fans or heaters”

Gave me a flashback to years ago when all the woman in the company would put little ceramic heaters under their desks.

The ensuing panic to remove them when the Fire Dept. showed up for a surprise inspection was comical.


47 posted on 12/25/2020 10:15:36 AM PST by Rebelbase (A COVID misanthrope.)
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