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Energy Resource Scheduling in an Agriculture System Using a Decision Tree Approach

机译:使用决策树方法的农业系统中的能源资源调度

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Agriculture sector is backbone of each country. Nowadays the energy efficiency in this sector is at a very low level, which shows the necessity of more investments in this regard. By appearance of smart grid technologies, some new concepts were also appeared in the agriculture sector, such as smart farm, and smart agriculture. This paper provides an energy management system for an agriculture field equipped with renewable energy resources and a river turbine. A decision tree is developed in this paper to schedule and optimize the use of energy resources for reducing the electricity costs. Decision tree method enables the system to obtain optimal scheduling of energy resources in offline mode, without using any external server/machine or internet access. A case study validates the performance of developed decision tree, and the errors and accuracy of all gained results are discussed.
机译:农业部门是每个国家的骨干。如今,这一部门的能效位于一个非常低的水平,这表明了对这方面更多投资的必要性。通过外观智能电网技术,农业部门等一些新概念,如智能农场,智能农业。本文为一家配备可再生能源资源和河流涡轮机的农业领域提供了一项能源管理系统。在本文中开发了一个决策树,以安排和优化能量资源来降低电力成本的使用。决策树方法使系统能够在离线模式下获得能量资源的最佳调度,而无需使用任何外部服务器/机器或Internet访问。案例研究验证了开发决策树的性能,并讨论了所有获得结果的错误和准确性。

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