In this manuscript, an energy management system (EMS) is proposed to the distribution system (DS) using Internet of Things (IoT) framework with a hybrid system. The proposed hybrid method is the combination of the Seagull Optimization Algorithm (SOA) and Owl Search Algorithm (OSA), hence it is called SO²SA technique. The principle objective of the SO²SA technique is to optimize managing distribution system power and resources through continuous monitoring of the data from a communication framework based on IoT. In SO²SA technique, every home device is connected to the module of data acquisition, which indicates an IoT object along with a unique IP address as a result of huge mesh wireless network devices. The sending data are processed through SO²SA technique. Similarly, the IoT architecture of the distribution system enhances the flexibility of these networks and gives optimal utilization of obtainable resources. In addition, the SO²SA technique is responsible for meeting the overall power and supply requirements. The proposed method is implemented in MATLAB/Simulink site and the efficiency is likened to the other different methods. In 50 trail numbers, the RMSE, MAPE, and MBE range of SO²SA technique represents 5.63, 0.90, and 1.035. Thus, the proposed technique is highly competent over all the existing approaches.

中文翻译：

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智能能源系统中基于物联网的能源管理：一种混合 SO2SA 技术

在本手稿中，向配电系统 (DS) 提出了使用物联网 (IoT) 框架和混合系统的能源管理系统 (EMS)。所提出的混合方法是海鸥优化算法(SOA) 和猫头鹰搜索算法(OSA) 的结合，因此称为SO ² SA 技术。SO ² SA 技术的主要目标是通过持续监控来自基于 IoT 的通信框架的数据来优化管理配电系统电源和资源。在 SO ² SA 技术中，每个家庭设备都连接到数据采集模块，由于巨大的网状无线网络设备，数据采集模块指示一个物联网对象以及一个唯一的 IP 地址。发送数据通过 SO 处理² SA技术。同样，配电系统的物联网架构增强了这些网络的灵活性，并优化了可用资源的利用。此外，SO ² SA 技术负责满足整体电源和电源要求。所提出的方法在 MATLAB/Simulink 站点中实现，其效率与其他不同的方法相媲美。SO ² SA 技术的 RMSE、MAPE 和 MBE 范围在 50 个路径编号中分别代表 5.63、0.90 和 1.035。因此，所提出的技术在所有现有方法上都非常胜任。