作者: Liu Shaohua , Wu Zhou , Dai Zhong , Yao Lan , Dai Yinuo
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摘要: Provided are a system and method for smart home power saving based on self-learning. The the can solve technical problems that conventional scheme needs manual control is not convenient enough. comprises product, household data acquisition module, intelligent cloud computing center. product module respectively connected with in communication manner. center According to user use habits, environment self-learning consumption conditions combined, combined an optimization model, of utilization setting performed. For example, previously, may turn air conditioner at when comes from work, now, according cooling condition conditioner, time leaves company, distance between company home, traffic conditions, preferred temperature, temperature frequency set automatically, optimized.