Using Artificial Intelligence (And A Little Scolding) To Reduce Energy Use

Turn your thermostat down, Dave. A new program in England looks at your energy use and then offers you suggestions on how to reduce it to save money (and emissions).

Houses and other dwellings account for nearly a third of all the energy used in the United Kingdom (in the U.S. it’s a bit lower). That takes a toll on the climate and on people’s wallets. What’s worse is that much of that energy is wasted because residents don’t see an immediate connection between the thermostat, for example, and the utility bill.

Nigel Goddard, a professor at the University of Edinburgh’s School of Informatics, is trying to solve that problem using cutting-edge techniques from a branch of artificial intelligence called "machine learning."

In the multi-year IDEAL project, launching in 2013, Goddard and his colleagues will outfit hundreds of British homes with relatively inexpensive sensors that monitor temperature, humidity, and light levels, as well as gas and electricity use, and wirelessly report their readings every minute. Using machine learning techniques, Goddard and his team will be able to analyze that noisy data to infer what people are actually doing—cooking or taking a shower, for example.

Then they’ll use another cutting-edge technology—natural language synthesis—to generate automatic text messages that give people feedback about their energy use. A text message might read, "Last week you spent £10 on hot water for showers, if you reduced your average shower time from 15 minutes to 12 minutes you could save £100 per year." Over time, they can tweak the kinds of messages they send to make them as effective as possible.

How much energy will people end up saving with this kind of feedback? Goddard expects the results to vary based on a home’s income level, among other factors, but says that "in the best groups I would estimate 20%, possibly a bit more—but it’s a wild guess."

The money saved with an energy reduction of 20% could pay for the roughly $800 sensor set within as little as two or three years. And that’s what makes this project so interesting. If it works, it could scale quickly. "It could be offered by utilities or energy service companies, perhaps they install the kit for free and take a percentage of savings," says Goddard.

I, for one, welcome our new energy-conscious robot overlords.

Add New Comment


  • Brad Arnold

    Abundance through technology is better than using technology to manage scarcity:"A volume about the size of a #2 pencil eraser of water provides as much energy as two 48-gallon drums of gasoline. That is 355,000 times the amount of energy per volume – five orders of magnitude." ( http://oilprice.com/Energy/Ene... ).

    This phenomenon (LENR) has been confirmed in hundreds of published scientific papers: http://lenr-canr.org/acrobat/R...

    "Over 2 decades with over 100 experiments worldwide indicate LENR is real, much greater than chemical..." --Dennis M. Bushnell, Chief Scientist, NASA Langley Research Center

    "Total replacement of fossil fuels for everything but synthetic organic chemistry." --Dr. Joseph M. Zawodny, NASA

    By the way, here is a survey of some of the companies that are bringing LENR to commercialization: http://www.cleantechblog.com/2...

    For those who still aren't convinced, here is a paper I wrote that contains some pretty convincing evidence: http://coldfusionnow.org/the-e...

  • Ran1875

    A quick geography lesson - Edinburgh is in Scotland, not England. Try not to confirm all British people's prejudiced views of Americans not having much of a grasp on countries other than their own.