Integrating solar PV systems for energy efficiency in portable cabins: A case study in Kuwait

A Sedaghat, R Kalbasi, R Narayanan, A Mehdizadeh… - Solar Energy, 2024 - Elsevier
The rapid growth of energy consumption in densely populated urban areas with limited land
space, especially in hot climates, poses significant challenges. The Australian University of …

Analyzing complexities of integrating Renewable Energy Sources into Smart Grid: A comprehensive review

HA Aghajari, T Niknam, M Shasadeghi… - Applied Energy, 2025 - Elsevier
In modern cities and nations, Smart Grids (SGs) must include Renewable Energy Sources
(RESs) to enhance energy efficiency and promote sustainability. Battery-included RESs play …

[HTML][HTML] Online non-intrusive load monitoring: A review

D Cruz-Rangel, C Ocampo-Martinez, J Diaz-Rozo - Energy Nexus, 2024 - Elsevier
Significant progress has been achieved in managing energy consumption in the residential
sector in recent years. However, the industrial sector requires better coverage due to its …

A holistic and personalized home energy management system with non-intrusive load monitoring

CL Athanasiadis, TA Papadopoulos… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
This paper introduces a holistic, multi-objective home energy management system (HEMS)
designed to optimize residential electrical and thermal demands. By incorporating dynamic …

[HTML][HTML] Comparing four machine learning algorithms for household non-intrusive load monitoring

TL Young, J Gopsill, M Valero, S Eikevåg, B Hicks - Energy and AI, 2024 - Elsevier
Abstract The combination of Machine Learning (ML), smart energy meters, and availability of
household appliance energy profile data has opened new opportunities for Non-Intrusive …

Using Machine Learning Techniques to Identify Major Determinants of Electricity Usage in Residential Buildings of Pakistan

MS Jarral, KP Amber, TA Cheema… - Journal of Building …, 2025 - Elsevier
Pakistan's residential sector accounts for a substantial 47% of national electricity
consumption, making it the country's largest electricity-consuming sector. However, there is …

Data-Driven Approaches for Energy Theft Detection: A Comprehensive Review

S Kim, Y Sun, S Lee, J Seon, B Hwang, J Kim, J Kim… - Energies, 2024 - mdpi.com
The transition to smart grids has served to transform traditional power systems into
datadriven power systems. The purpose of this transition is to enable effective energy …

[HTML][HTML] Measuring the digitalisation of electricity distribution systems in Europe: Towards the smart grid

N Rodriguez-Perez, J Matanza, G Lopez… - International Journal of …, 2024 - Elsevier
This paper proposes a set of digitalisation indicators focused on measuring the different
digital capabilities and infrastructure of electricity distribution systems, as opposed to …

Unknown appliances detection for non-intrusive load monitoring based on vision transformer with an additional detection head

Q Zhao, W Liu, K Li, Y Wei, Y Han - Heliyon, 2024 - cell.com
Non-intrusive load monitoring (NILM) offers precise insights into equipment-level energy
consumption by analyzing current and voltage data from residential smart meters, thus …

[HTML][HTML] Methodological Planning to Determine the Technological Expansion of Smart Metering Systems for Utilities

M Toledo-Orozco, D Morales Jadán, S Arévalo Lozado… - Energies, 2024 - mdpi.com
This research uses data analysis and mining techniques to determine the technological
expansion of measurement systems in a public service company. It integrates technical …