Research on key technologies of high energy efficiency and low power consumption of new data acquisition equipment of power Internet of Things based on artificial intelligence

• DOI: 10.1016/j.ijft.2024.100575
• Publication Date: 2024-01-21T09:49:21Z
• Authors: Xing Li; Haiping Zhao; Yiming Feng; Jinze Li; Yunfei Zhao; Xiao Wang
• Keywords: Smart meter; Metering mode; Smart City; Automatic meter reading

Energy efficiency is a critical problem that drives consideration of smart cities and urban areas' development. security the environment face enormous problems because dramatic rise in energy consumption brought on by rising population levels widespread use new data-collecting technologies. Traditional grids can be updated with IoT-based metering (SM) advanced infrastructure (AMI) technologies revealing previously hidden information about electrical power implementing communication system between utilities consumers during transaction process. The distribution city environments are strongly supported Internet Things (IoT) Artificial Intelligence (AI). Hence, this paper suggests IoT AI-assisted Smart Metering System (IoT-AI-SMS) as data acquisition equipment for predicting cities. taken from Efficiency Datasets to examine cities' consumption. This research offers Recurrent Neural Network (RNN) load forecasting using meter data. technique allows training single model all participating meters without exchanging local information. Considering customers' needs, developed scheduled controllable loads offered optimal dispatch distributed generation grid.