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Integration of consumption forecasting in smart meters and smart home management systems

机译:智能电表和智能家庭管理系统中消费预测的集成

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The smart grids bring several new possibilities due to the new technology's needed for implementation. However, it may not be clear to the consumer what benefits can be achieved because of this new reality, triggering considerable rejection rates due to lack of knowledge and information. New products and services can leverage integration between consumers and utilities, enabling better levels of energy efficiency by both consumers and utilities, which is one of the main objectives of smart grids. In this context, this article proposes the use of techniques to predict energy consumption as a useful tool for consumers and directly related to energy efficiency. It presents the main techniques for forecasting and a case study demonstrating the feasibility of the proposed solution. As a result, the method used reached a small margin of error in the short-term forecast.
机译:由于实施所需的新技术,智能电网带来了几种新的可能性。然而,由于这种新现实,消费者可能无法实现哪些益处,由于缺乏知识和信息,触发了相当大的拒绝率。新产品和服务可以利用消费者和公用事业之间的集成,消费者和公用事业能够更好地获得能源效率,这是智能电网的主要目标之一。在这种情况下,本文提出使用技术来预测能源消耗作为消费者的有用工具,直接与能效相关。它提出了预测的主要技术和案例研究,证明了所提出的解决方案的可行性。结果,在短期预测中使用的方法达到了小的误差余量。

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