A survey on role of blockchain for iot: Applications and technical aspects
In recent times, IoT has emerged as a new paradigm for the interconnection of
heterogeneous, resource-constrained, and communication-capable smart devices. It has …
heterogeneous, resource-constrained, and communication-capable smart devices. It has …
Data-Driven Machine Learning Methods for Nontechnical Losses of Electrical Energy Detection: A State-of-the-Art Review
Nontechnical losses of electrical energy (NTLEE) have been a persistent issue in both the
Russian and global electric power industries since the end of the 20th century. Every year …
Russian and global electric power industries since the end of the 20th century. Every year …
Smart meter data analytics applications for secure, reliable and robust grid system: Survey and future directions
The new power sector scenario has focused on integrating renewable energy sources into
the grid and achieving trustworthy consumer-utility-stakeholder relationships using smart …
the grid and achieving trustworthy consumer-utility-stakeholder relationships using smart …
[HTML][HTML] Data-driven intelligent method for detection of electricity theft
Anti-electricity leakage or stealing plays a crucial role in the energy market as accurate
detection is beneficial for electricity safety, unit commitment, reduction of corporate losses …
detection is beneficial for electricity safety, unit commitment, reduction of corporate losses …
[HTML][HTML] Recent developments and challenges using blockchain techniques for peer-to-peer energy trading: A review
T Sivaram - Results in Engineering, 2024 - Elsevier
Energy commerce models have changed due to the proliferation of renewable energy
sources, moving from centralized to decentralized systems. Although a crucial element of …
sources, moving from centralized to decentralized systems. Although a crucial element of …
AMI-Chain: a scalable power-metering blockchain with IPFS storage for smart cities
There is a growing interest in utilizing blockchain technology to safeguard grid assets,
promote environmental sustainability, and enhance services in smart-city power grids …
promote environmental sustainability, and enhance services in smart-city power grids …
An optimized GRT model with blockchain digital smart contracts for power generation enterprises
S Chai, X Zhang, MZ Abedin, H Chen, B Lucey… - Energy Economics, 2023 - Elsevier
The traditional power generation rights trading (GRT) market is faced with the problems of
weak interconnection of electricity‑carbon market and low security. Using smart contracts in …
weak interconnection of electricity‑carbon market and low security. Using smart contracts in …
Detection of electricity theft based on Minimal Gated Memory network combined adaptive synthesis sampling and decision tree
Y He, J Zhou, C Cao, S Wang, H Fu - Sustainable Energy, Grids and …, 2024 - Elsevier
Advanced metering infrastructure is the foundation for recording and analyzing the massive,
high-frequency electricity consumption data. With the increasing number of electricity theft …
high-frequency electricity consumption data. With the increasing number of electricity theft …
Electricity theft detection in smart grid using machine learning
Nowadays, electricity theft is a major issue in many countries and poses a significant
financial loss for global power utilities. Conventional Electricity Theft Detection (ETD) models …
financial loss for global power utilities. Conventional Electricity Theft Detection (ETD) models …
[HTML][HTML] Detection Method for Three-Phase Electricity Theft Based on Multi-Dimensional Feature Extraction
W Bai, L **ong, Y Liao, Z Tan, J Wang, Z Zhang - Sensors, 2024 - mdpi.com
The advent of smart grids has facilitated data-driven methods for detecting electricity theft,
with a preponderance of research efforts focused on user electricity consumption data. The …
with a preponderance of research efforts focused on user electricity consumption data. The …