<p>The home energy management system (HEMS) has been the necessary technology in recent decades for managing electricity distribution systems. Also, the total amount of local generation would be minimized to penetrate the wider distribution system and shift household usage away from peak consumption times. Therefore, a novel Dove-based Elman network system (DbENS) is proposed in the given paper to estimate and reduce energy usage for household appliances. Initially, the energy required for the proposed model is acquired from the solar panel and is stored in the battery. This model consists of four stages: pre-processing, feature extraction, estimation of energy distribution, and optimization. In the first stage, de-noising is performed to remove data noise. Then, the feature analysis process is performed to extract the required features based on the dove fitness features of the proposed model. Also, the estimation process is performed for the household appliances to distribute the energy resources. Finally, reduce the energy usage for the distribution process in the energy optimization stage. Additionally, the proposed DbENS model is validated and compared with existing models based on parameters such as accuracy (%), error rate and power consumption (kW). </p>