Multi-Source Heterogeneous Core Data Acquisition Method in Edge Computing Nodes

Smart Grid Data Management in a Heterogeneous Environment with a Hybrid Load Forecasting Model

“…Moreover, D. Kaur et al [16] proposed a tensor-based big data management scheme to reduce the data divergence problem in the dataset generated from diverse meters. Likewise, Xia, H et al [28] proposed a system that can extract good quality data from a large-scale heterogeneous database environment resulting from multiple data sources. This study suggests using edge computing infrastructure and a unified data representation model for data integration.…”

“…One of the most famous implementations is the concept of smart homes that control all the electrical appliances to enable highly efficient consumption. It also connects these electrical appliances to various sensors from where data are collected and sent to the distributors, who can then use the data for predictive analysis [22][23][24][25][26][27][28][29][30]. Smart homes are becoming increasingly popular in developed countries because they provide a high level of automation in controlling electrical appliances while ensuring that energy is not wasted by unnecessarily turning on the appliances [31].…”

“…Moreover, smart homes also allow users to track their energy usage at any time to monitor and control their energy bills. Therefore, smart homes make power consumption very efficient while reducing energy costs [24][25][26][27][28][29][30][31][32]. These existing and potential applications are highly effective in solving some of the energy problems, but there is still a need for more research to handle the energy problems that are more prevalent in developing countries.…”