Contrary to the rapid evolution experienced in the last decade of ict and particularly the iot, electric power distribution systems have remained exceptionally steady for a long time. Energy users are no longer passive actors; the prosumer is expected to be the primary agent in the Future Grid. Demand Side Management refers to the management of energy production and consumption at the demand side, and there seems to be an increasing concern about the scalability of dsm services. The creation of prosumer communities leveraging the sg to improve energy production and consumption patterns has been proposed in the literature, and several works concerned with scalability of dsm services group prosumers to improve dsm scalability. In our previous work, we coin the term sioe to refer to the integration between devices, prosumers and groups of prosumers via social relationships. In this work, we develop an algorithm to coordinate the different clusters we create using the clustering method by load profile compatibility (instead of similarity). Our objective is to explore the possibilities of the cluster-by-compatibility heuristic we proposed in our previous work. We perform experiments using synthetic and real datasets. Results show that we can obtain a global reduction in par with datasets containing up to 200 prosumers and creating up to 6 pcg, and imply that those pcg can perform load rescheduling semi-autonomously and in parallel with each other.

中文翻译：

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在能源社会互联网中创建消费者社区团体的启发式方法。

与ICT过去十年（尤其是物联网）经历的快速发展相反，配电系统长期以来一直保持异常稳定。能源使用者不再是被动角色。预期生产者将成为Future Grid中的主要代理。需求方管理是指需求方的能源生产和能耗管理，并且人们对dsm服务的可扩展性的关注日益增加。文献中已经提出了利用sg来创建生产者社区来改善能源生产和消费模式的问题，并且涉及dsm服务组生产者的可扩展性以改善dsm可扩展性的一些工作。在我们之前的工作中，我们使用术语sioe来指代设备之间的集成，生产者和生产者群体之间的社会关系。在这项工作中，我们开发了一种算法，可通过负载配置文件兼容性（而非相似性）来协调使用聚类方法创建的不同聚类。我们的目标是探索我们在之前的工作中提出的按兼容性进行聚类启发式算法的可能性。我们使用合成和真实数据集进行实验。结果表明，与包含最多200个生产者和最多创建6个pcg的数据集相比，我们可以获得全局减少，这意味着这些pcg可以半自动且彼此并行地执行负载重新调度。我们的目标是探索我们在之前的工作中提出的按兼容性进行聚类启发式算法的可能性。我们使用合成和真实数据集进行实验。结果表明，与包含最多200个生产者和最多创建6个pcg的数据集相比，我们可以获得全局减少，这意味着这些pcg可以半自动且彼此并行地执行负载重新调度。我们的目标是探索我们先前工作中提出的按兼容性进行聚类启发式算法的可能性。我们使用合成和真实数据集进行实验。结果表明，与包含最多200个生产者和最多创建6个pcg的数据集相比，我们可以获得全局减少，这意味着这些pcg可以半自动且彼此并行地执行负载重新调度。