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An embedded prototype of a residential smart appliance scheduling system

机译：住宅智能家电调度系统的嵌入式原型

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Demand Response (DR) is seen as one of the key enabling factors in the emerging smart grid. DR takes many forms, including residential smart appliance scheduling. Scheduling algorithms capable of achieving near-minimum cost solutions with low computational overhead are required in order to autonomously respond to varying utility pricing signals. In this paper, the focus is upon an embedded software prototype implementation of a residential load scheduling system. It describes the implementation and testing of a heuristic algorithm for household energy management on a small embedded processor. The performance of the prototype implementation is validated against previously reported experiments and simulations. Test results indicate that the heuristic is efficient enough to be co-located on a small smart meter with limited memory and processing power without any difficulties, helping to open the way for practical consumer demand response.
机译：需求响应（DR）被视为新兴智能电网中的关键推动因素之一。 DR采用多种形式，包括住宅智能设备调度。为了自动响应变化的公用事业定价信号，需要能够以低计算开销实现接近最低成本的解决方案的调度算法。在本文中，重点是住宅负荷调度系统的嵌入式软件原型实现。它描述了在小型嵌入式处理器上用于家庭能源管理的启发式算法的实现和测试。原型实现的性能已针对先前报告的实验和仿真进行了验证。测试结果表明，该启发式方法足够有效，可以共存于具有有限存储和处理能力的小型智能仪表上，而不会遇到任何困难，从而有助于为实际的消费者需求响应开辟道路。

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