Research and application of wireless sensor network technology in power transmission and distribution system
J Liu, Z Zhao, J Ji, M Hu - Intelligent and Converged Networks, 2020 - ieeexplore.ieee.org
Power is an important part of the energy industry, relating to national economy and people's
livelihood, and it is of great significance to ensure the security and stability in operation of …
livelihood, and it is of great significance to ensure the security and stability in operation of …
[PDF][PDF] Design and Implementation of Smart City Applications Based on the Internet of Things.
NA Jasim, H TH, SAL Rikabi - International Journal of Interactive …, 2021 - academia.edu
Since the emergence of the Coronavirus and its declaration as a global pandemic, the world
has changed all sectors radically. Covid-19 has caused a very strong effect on daily life and …
has changed all sectors radically. Covid-19 has caused a very strong effect on daily life and …
Wasserstein GAN-based digital twin-inspired model for early drift fault detection in wireless sensor networks
In this Internet of Things (IoT) era, the number of devices capable of sensing their
surroundings is increasing day by day. Based on the data from these devices, numerous …
surroundings is increasing day by day. Based on the data from these devices, numerous …
Embedded web server implementation for real-time water monitoring
Water is particularly essential for the healthy continuation of all living. Nevertheless, water
resources are exposed to several issues, including pollution, dearth, increasing demand …
resources are exposed to several issues, including pollution, dearth, increasing demand …
An improved residential electricity load forecasting using a machine-learning-based feature selection approach and a proposed integration strategy
Load forecasting (LF) has become the main concern in decentralized power generation
systems with the smart grid revolution in the 21st century. As an intriguing research topic, it …
systems with the smart grid revolution in the 21st century. As an intriguing research topic, it …
Classification of smart grid stability prediction using cascade machine learning methods and the internet of things in smart grid
In a smart grid, the main goals are to provide grid stability, improve power system
performance and security, and reduce operations, system maintenance, and planning costs …
performance and security, and reduce operations, system maintenance, and planning costs …
Communication network standards for smart grid infrastructures
Upgrading the existing energy infrastructure to a smart grid necessarily goes through the
provision of integrated technological solutions that ensure the interoperability of business …
provision of integrated technological solutions that ensure the interoperability of business …
A Systematic Review Paper on Energy-Efficient Routing Protocols in Internet of Things
The Internet of Things (IoT) has witnessed remarkable growth, leading to the emergence of
numerous applications and services. However, energy efficiency remains a critical concern …
numerous applications and services. However, energy efficiency remains a critical concern …
Design and implementation of iot integrated monitoring and control system of renewable energy in smart grid for sustainable computing network
Abstract The Smart Grid (SG) is a system with a lot of controls and communications. Both
local and global controls are included in these controls. One of the advantages of SG over a …
local and global controls are included in these controls. One of the advantages of SG over a …
Quantum computing-inspired optimal power allocation mechanism in edge computing environment
Innovations in Internet of Things (IoT) technology have significantly enhanced the service
qualities of power grid organizations by incorporating smart energy distribution techniques …
qualities of power grid organizations by incorporating smart energy distribution techniques …