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An algorithm developed and field-tested by ORNL researchers uses machine learning to maintain homeowners’ preferred temperatures year-round while minimizing energy costs. Credit: ORNL, U.S. Dept. of Energy

Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.

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Keeping food fresh is no easy feat. Trials of transporting ice over long distances and the hazards of systems that rely on toxic gases riddle the pages of refrigeration history. And although cooling science has come a long way in the past two centuries, modern refrigeration has an environmental cost...