[HTML][HTML] Artificial intelligence techniques for enabling Big Data services in distribution networks: A review

S Barja-Martinez, M Aragüés-Peñalba… - … and Sustainable Energy …, 2021 - Elsevier
Artificial intelligence techniques lead to data-driven energy services in distribution power
systems by extracting value from the data generated by the deployed metering and sensing …

[HTML][HTML] A comprehensive predictive-learning framework for optimal scheduling and control of smart home appliances based on user and appliance classification

W Shafqat, KT Lee, DH Kim - Sensors, 2022 - mdpi.com
Energy consumption is increasing daily, and with that comes a continuous increase in
energy costs. Predicting future energy consumption and building an effective energy …

Smart home energy visualizer: a fusion of data analytics and information visualization

A Jaradat, H Lutfiyya, A Haque - IEEE Canadian Journal of …, 2022 - ieeexplore.ieee.org
While technology advancements are continuously improving, the energy efficiency of
household appliances, energy consumption analysis, and providing feedback to consumers …

Deep learning approach for smart home appliances monitoring and classification

J Ramesh, AR Al-Ali, A Al Nabulsi… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
With the global rise in the adoption of smart grids and smart homes, it is imperative to find
approaches to efficiently monitor and manage load profiles across households. We consider …

Design and implementation of an IoT-enabled smart plug socket for home energy management

M Rokonuzzaman, MK Mishu, MR Islam… - … on Smart Grid and …, 2021 - ieeexplore.ieee.org
This paper proposes an Internet of Thing (IoT)-enabled smart plug socket (SPS) to monitor
and control energy consumption in a home/building energy management system. The …

[HTML][HTML] HyDSMaaS: A hybrid communication infrastructure with LoRaWAN and LoraMesh for the demand side management as a service

AFS Veloso, JVR Júnior, RAL Rabelo, JD Silveira - Future Internet, 2021 - mdpi.com
Seeking to solve problems in the power electric system (PES) related to exacerbated and
uncontrolled energy consumption by final consumers such as residences, condominiums …

[HTML][HTML] Electrical Load Classification with Open-Set Recognition

DI Németh, K Tornai - Energies, 2023 - mdpi.com
Full utilization of renewable energy resources is a difficult task due to the constantly
changing demand-side load of the electrical grid. Demand-side management would solve …

Detecting Unknown Electrical Loads Using Open Set Recognition

DI Németh, K Tornai - 2022 IEEE 10th International Conference …, 2022 - ieeexplore.ieee.org
This paper presents a solution to the problem of detecting unknown electric loads in a
household. With the emergence of renewable energy sources, the balancing of electricity …

An IoT-based Smart Plug Energy Monitoring System

L Albraheem, H Alajlan, LA Alkhair… - … Journal of Advanced …, 2023 - search.proquest.com
Over the years, considerable efforts have been made to maintain electricity. However, there
is still a significant need to explore new technologies and solutions conserve and enhance …

An Energy Consumption Monitoring and Control System in Buildings using Internet of Things

PK Dutta, SM El-kenawy, G Ali… - … Journal of Internet …, 2023 - journals.mesopotamian.press
In this paper a system to monitor and control the electricity consumption by means of Internet
of Things (IoT) technology in buildings is presented. Wi-Fi smart plugs act as sensors to …