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A new approach based on coupled map lattices for load forecasting in smart grids

机译:一种基于耦合地图格子的新方法,用于智能电网负载预测

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Over the years, several methods were applied to forecasting problem, usually without considering the system topology. With smart grid introduction the connection between grid components and data amount generated can be considered to improve load forecasts. Using dynamical systems concepts it's possible to include network characteristics, such as connections between buses and lines impedances, by applying models that includes spatially extended systems which have time and space dynamic, such as coupled map lattices. For this technique application is not necessary a long data history, the problem local dynamics is detected with only one delay, covering the problem originated by newly added equipment. The obtained results are compared with a linear regression model. The error values suggest that the proposed method has an adequate performance when very few historical data are available. Compared to other models has the advantage of solving the whole system in one iteration, regardless the system size.
机译:多年来,通常不考虑系统拓扑,若干方法应用于预测问题。使用SMART网格介绍,可以考虑产生网格组件与数据量之间的连接来改善负载预测。使用动态系统概念可以包括网络特征,例如通过应用包括具有时间和空间动态的空间扩展系统的模型,例如耦合地图格子之间的模型,例如总线和线阻抗之间的网络特征。对于这种技术应用程序不是必需的长数据历史,仅通过一个延迟检测到问题本地动态,涵盖由新添加设备的问题。将得到的结果与线性回归模型进行比较。误差值表明,当很少有历史数据时,所提出的方法具有足够的性能。与其他模型相比具有在一个迭代中解决整个系统的优势,无论系统尺寸如何。

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