Smart meters for smart energy: a review of business intelligence applications

MH Raza, YM Rind, I Javed, M Zubair… - IEEE …, 2023 - ieeexplore.ieee.org
Smart Energy (SE) has emerged as a critical technology in tackling global challenges like
climate change while addressing the rising energy demands driven by today's data …

Energy theft detection in smart grids: Taxonomy, comparative analysis, challenges, and future research directions

M Ahmed, A Khan, M Ahmed, M Tahir… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Electricity theft is one of the major issues in developing countries which is affecting their
economy badly. Especially with the introduction of emerging technologies, this issue …

Non-intrusive load monitoring (nilm)–a recent review with cloud computing

KK Kee, YS Lim, J Wong… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Issues of energy crisis and global warming push implementation of energy efficiency
policies and programs as important mitigation efforts, particularly at consumer level. Load …

Concept of energy efficient ESP32 chip for industrial wireless sensor network

E Gatial, Z Balogh, L Hluchý - 2020 IEEE 24th International …, 2020 - ieeexplore.ieee.org
This paper proposes a concept of low-cost industrial wireless sensor network integrating the
power consumption efficient ESP32 chip. The main focus is given on best practices of …

Location-based optimized service selection for data management with cloud computing in smart grids

S Padmanaban, H Eklas, JB Holm-Nielsen… - Energies, 2019 - mdpi.com
To maximize the utilization, reliability and availability of power resources, some distribution
strategy has to be implemented, which is possible nowadays with the support of modern …

Leveraging artificial intelligence of things for anomaly detection in advanced metering infrastructures

RE Ogu, CI Ikerionwu, II Ayogu - 2020 IEEE 2nd international …, 2021 - ieeexplore.ieee.org
The integration of more sensory and actuation components to the Smart Grid produces high
volume of data. Consequently, this big data stretches the transmission, processing, and …

Identification of Non-technical Losses in Smart Metering Systems via a Dispersive Flies Algorithm

K Dassa, A Recioui, M Harir, A Bedjil - … of the Indian National Academy of …, 2022 - Springer
In many developing countries, non-technical losses and electricity stealing constitute serious
problems for electric power companies. This paper demonstrates a practical scheme for …

A novel and effective method based deep learning model for detecting non-technical electricity losses

IMR Baldawi, T İnan - 2023 - openaccess.altinbas.edu.tr
This study focused on non-technical electricity loss detection. As mentioned, non-technical
losses (NTLs) affect utilities and economies financially. Electricity theft, fraud, and metering …

Imputation and anomaly detection for consumer load profiles

M Farrugia - 2020 - um.edu.mt
The advent of smart meters has opened new possibilities for utilities. Billing is no longer the
sole function of the meter. The load profile data, registered by the smart meters, can be …

Upper-middleware development of smart energy profile 2.0 for demand-side communications in smart grid

Y Lu, Y Ding, Q Duan, X Li… - IECON 2018-44th Annual …, 2018 - ieeexplore.ieee.org
In smart grid, demand-side communications play a significant role in real-time applications,
such as demand response and advanced metering. With recent progresses on Internet-of …