Helix Multi-layered: a context broker federation for an efficient cloud-to-things continuum

Analysis of Electrical Signals by Machine Learning for Classification of Individualized Electronics on the Internet of Smart Grid Things (IoSGT) architecture

“…The bidirectional data and energy flow that SG provisions in all sectors of the grid system, mean that both IEDs and Supervisory Control and Data Acquisition (SCADA) have essential architectural components that are interlinked to assist utilities in achieving reliability and efficiency [Hajam and Sofi, 2021]. Such an interlinking approach provides advanced power automation for the whole electricity grid in terms of detection, measurement and control, among other capabilities [Cabrini et al, 2022a]. The next SG generation is predicted to advance at unprecedented levels, through an ecosystem of cutting-edge Information and Communication Technologies (ICTs) led by the Internet of Things (IoT) and Cloud Computing paradigms.…”

“…In addition, the introduction of AI capabilities into Edge computing facilities ensures highly accurate decision-making at on-site premises, since the high proximity between IEDs and servers, entail computing, data storage, and AI-enforced SG control applications [Ramalho and Neto, 2016]. Moreover, Edge Computing enhances SG by avoiding the need to constantly interact with Cloud server facilities to enable SG data processing and analysis to be carried out, as well as to respond back with the actions needed [Cabrini et al, 2022b].…”