Cybersecurity in Cyber–Physical Power Systems

LF Ribas Monteiro, YR Rodrigues… - Energies, 2023 - mdpi.com
The current energy transition combined with the modernization of power systems has
provided meaningful transformations in the transmission, distribution, operation, planning …

Privacy and Security in Artificial Intelligence and Machine Learning Systems for Renewable Energy Big Data

S Katamoura, MS Aksoy… - 2024 21st Learning and …, 2024 - ieeexplore.ieee.org
This paper explores the critical intersection of security and privacy in advanced artificial
intelligence (AI) and machine learning (ML) with Internet of Things (IoT) systems and edge …

Anomaly Detection in a Smart Industrial Machinery Plant Using IoT and Machine Learning

A Jaramillo-Alcazar, J Govea, W Villegas-Ch - Sensors, 2023 - mdpi.com
In an increasingly technology-driven world, the security of Internet-of-Things systems has
become a top priority. This article presents a study on the implementation of security …

End to end secure data exchange in value chains with dynamic policy updates

A Mosteiro-Sanchez, M Barcelo, J Astorga… - Future Generation …, 2024 - Elsevier
Data exchange among value chain partners offers a competitive advantage, but it also
exposes sensitive data to increasing risks of compromise. To protect this data, securing it …

A compact IIoT system for remote monitoring and control of a micro hydropower plant

A Albița, D Selișteanu - Sensors, 2023 - mdpi.com
Remote monitoring and operation evaluation applications for industrial environments are
modern and easy means of exploiting the provided resources of specific systems. Targeted …

CEESys: a cloud-edge-end system for data acquisition, transmission and processing based on HiSilicon and OpenHarmony

H Tian, K Ye - International Conference on Metaverse, 2023 - Springer
In a typical industry environment, temperature, humidity and light intensity are the key
environmental parameters. Cloud-Edge-End architecture is perfect to process IoT data …

Predictive Maintenance in Photovoltaic Systems Using Ensemble ML Empirical Analysis

RB Mofidul, SS Alam, A Chakma… - … on Ubiquitous and …, 2023 - ieeexplore.ieee.org
This paper aims to enhance the effectiveness and sustainability of photovoltaic (PV) systems
by employing ensemble machine learning empirical analysis (EMLEA) to predict regular …

Integration of Artificial Intelligence and Machine Learning for Internet of Things

K Kumar, V Kumar - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The fast growth of the Internet of Things (IoT) has created a large plethora of data, driving the
need for intelligent data analysis and decision-making. The rapid growth of IoT tools has …

[PDF][PDF] Design of industrial equipment data acquisition system based on ZYNQ

X Zhang, Q Xing, X Yu, S Pan - Applied Mathematics and …, 2023 - intapi.sciendo.com
In this paper, an industrial equipment data acquisition system based on a ZYNQ chip is
constructed using an AD7607 data acquisition module containing a symmetric layout. Next …

[PDF][PDF] Enhancing Fraud Detection in Financial transaction Through Big Data Analytics

N Fatima, A Aladwan - 2023 - assignyourassignments.com
The steadily developing landscape of financial transactions has led to a developing
concern: fighting extortion. Utilizing the force of big data analytics, this exposition digs into …