基于能源互联网的智能家居中的住宅能源消耗和价格预测

IF 7.1 2区 工程技术 Q1 ENERGY & FUELS
Shijiao Zhao , SiZhuo Chen , Theyab R Alsenani , Badr Alotaibi , Mohammed Abuhussain
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引用次数: 0

摘要

智能家居应用需要使用人工智能技术进行自动能源管理和控制不必要的能源消耗价格。此前,关于价格预测的研究较多。然而,有效的结果仍在研究之中。本研究介绍了基于能源互联网的实时住宅能源管理系统与调度策略。所提出的方法采用了门控循环单元和鸟群优化器(GRU-BSO)以及基于价格预测(PF)的实时电力调度(RTES),以实现高效的住宅能源管理。该研究强调了优化算法最大限度降低能源成本和促进节能的能力,为该领域做出了重大贡献。价格预测(PF)是分布式能源生产的核心目标。通过预测最优价格,这种方法可以提高电网效率,解决微电网管理和规划问题。建议使用使用时间(ToU)模型确定肩峰和高峰时段的电价。建议的方法还能预测家庭能源管理中使用的能源价格。云服务器和 MATLAB 实现的微电网系统通过两级通信网络连接。当前的通信级别以本地通信级别为协议,使用 IP/TCP 和 MQTT。该研究提出的调度控制器利用所建议的方法成功实现了 17 千瓦和 47 美分的节能效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Residential energy consumption and price forecasting in smart homes based on the internet of energy
Smart home applications require automatic energy management and control of unwanted energy consumption prices using Artificial intelligence techniques. Previously, there were more studies on price forecasting. However, efficient results are still under research. This study introduces real-time residential energy management systems based on the Internet of Energy with a scheduling strategy. The proposed method employs a Gated Recurrent Unit and Bird Swarm Optimizer (GRU-BSO) along with Real-Time Electricity Scheduling (RTES) based on Price Forecasting (PF) for efficient residential energy management. The research emphasises the optimisation algorithm’s ability to minimise energy costs and promote energy conservation, significantly contributing to the field. Price forecasting (PF) is the central objective in distributed energy production. By forecasting the optimal price, this approach can improve the efficiency of power grids and solve issues with microgrid management and planning. It is suggested that the tariffs for shoulder-peak and on-peak hours be determined using the Time of Use (ToU) model. The proposed method also predicts the energy price used in home energy management. The cloud server and MATLAB-implemented microgrid system are linked via a two-level communications network. The current communications level uses the local communication level as a protocol, which uses IP/TCP and MQTT. The study’s proposed scheduling controller successfully achieved energy savings of 17 kW and 47 cents by utilising the proposed method.
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来源期刊
Sustainable Energy Technologies and Assessments
Sustainable Energy Technologies and Assessments Energy-Renewable Energy, Sustainability and the Environment
CiteScore
12.70
自引率
12.50%
发文量
1091
期刊介绍: Encouraging a transition to a sustainable energy future is imperative for our world. Technologies that enable this shift in various sectors like transportation, heating, and power systems are of utmost importance. Sustainable Energy Technologies and Assessments welcomes papers focusing on a range of aspects and levels of technological advancements in energy generation and utilization. The aim is to reduce the negative environmental impact associated with energy production and consumption, spanning from laboratory experiments to real-world applications in the commercial sector.
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