IoT-enabled smart agriculture: architecture, applications, and challenges

VK Quy, NV Hau, DV Anh, NM Quy, NT Ban, S Lanza… - Applied Sciences, 2022 - mdpi.com
The growth of the global population coupled with a decline in natural resources, farmland,
and the increase in unpredictable environmental conditions leads to food security is …

The internet of things security: A survey encompassing unexplored areas and new insights

AE Omolara, A Alabdulatif, OI Abiodun, M Alawida… - Computers & …, 2022 - Elsevier
The cosmic evolution of the Internet of things (IoTs) in par with its realization in all spheres of
life undertakings, mandates continuous research pursuits in IoT and its associated …

Machine learning driven smart electric power systems: Current trends and new perspectives

MS Ibrahim, W Dong, Q Yang - Applied Energy, 2020 - Elsevier
The current power systems are undergoing a rapid transition towards their more active,
flexible, and intelligent counterpart smart grid, which brings about tremendous challenges in …

Machine learning and data analytics for the IoT

E Adi, A Anwar, Z Baig, S Zeadally - Neural computing and applications, 2020 - Springer
Abstract The Internet of Things (IoT) applications have grown in exorbitant numbers,
generating a large amount of data required for intelligent data processing. However, the …

Iot-enabled smart energy grid: Applications and challenges

SMAA Abir, A Anwar, J Choi, ASM Kayes - IEEE access, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is a rapidly emerging field of technologies that delivers
numerous cutting-edge solutions in various domains including the critical infrastructures …

Design and fabrication of smart home with internet of things enabled automation system

WA Jabbar, TK Kian, RM Ramli, SN Zubir… - IEEE …, 2019 - ieeexplore.ieee.org
Home automation systems have attracted considerable attention with the advancement of
communications technology. A smart home (SH) is an Internet of Things (IoT) application …

FedDetect: A novel privacy-preserving federated learning framework for energy theft detection in smart grid

M Wen, R Xie, K Lu, L Wang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
In smart grids, a major challenge is how to effectively utilize consumers' energy consumption
data while preserving security and privacy. In this article, we tackle this challenging issue …

Detecting false data attacks using machine learning techniques in smart grid: A survey

L Cui, Y Qu, L Gao, G Xie, S Yu - Journal of Network and Computer …, 2020 - Elsevier
The big data sources in smart grid (SG) enable utilities to monitor, control, and manage the
energy system effectively, which is also promising to advance the efficiency, reliability, and …

An intelligent IoT-based system design for controlling and monitoring greenhouse temperature

AF Subahi, KE Bouazza - IEEE Access, 2020 - ieeexplore.ieee.org
The Kingdom of Saudi Arabia is known for its extreme climate where temperatures can
exceed 50° C, especially in summer. Improving agricultural production can only be achieved …

Review of low voltage load forecasting: Methods, applications, and recommendations

S Haben, S Arora, G Giasemidis, M Voss, DV Greetham - Applied Energy, 2021 - Elsevier
The increased digitalisation and monitoring of the energy system opens up numerous
opportunities to decarbonise the energy system. Applications on low voltage, local networks …