Making smart thermostats more efficient | Smart Buildings
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.
Research Paper: Data-driven control of micro-climate in buildings: An event-triggered reinforcement learning approach https://www.sciencedirect.com/science...
News Source: https://news.mit.edu/2020/making-smar...
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