[HTML][HTML] Deep learning for intelligent demand response and smart grids: A comprehensive survey

P Boopathy, M Liyanage, N Deepa, M Velavali… - Computer science …, 2024 - Elsevier
Electricity is one of the mandatory commodities for mankind today. To address challenges
and issues in the transmission of electricity through the traditional grid, the concepts of smart …

Explainable AI for 6G use cases: Technical aspects and research challenges

S Wang, MA Qureshi… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Around 2020, 5G began its commercialization journey, and discussions about the next-
generation networks (such as 6G) emerged. Researchers predict that 6G networks will have …

Economic energy managementof networked flexi-renewable energy hubs according to uncertainty modeling by the unscented transformation method

XW Zhang, X Yu, X Ye, S Pirouzi - Energy, 2023 - Elsevier
The utilization of energy hubs (EHs) in the power system and simultaneous energy
management of several energy networks is of high importance to increase energy efficiency …

Capabilities of compressed air energy storage in the economic design of renewable off-grid system to supply electricity and heat costumers and smart charging-based …

F Khalafian, N Iliaee, E Diakina, P Parsa… - Journal of Energy …, 2024 - Elsevier
The study presents the sizing of a hybrid renewable islanded system that can feed both
electrical and thermal energy simultaneously. The aforementioned energies are generated …

A survey on imbalanced learning: latest research, applications and future directions

W Chen, K Yang, Z Yu, Y Shi, CLP Chen - Artificial Intelligence Review, 2024 - Springer
Imbalanced learning constitutes one of the most formidable challenges within data mining
and machine learning. Despite continuous research advancement over the past decades …

Deep autoencoder-based anomaly detection of electricity theft cyberattacks in smart grids

A Takiddin, M Ismail, U Zafar… - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
Designing an electricity theft cyberattack detector for the advanced metering infrastructures
(AMIs) is challenging due to the limited availability of electricity theft datasets (ie, malicious …

Constant-coupling-effect-based PLL for synchronization stability enhancement of grid-connected converter under weak grids

X Lin, R Yu, J Yu, H Wen - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
The phase-locked loop (PLL)-caused couplings on the grid-connected converter (GCC) are
strengthened by increasing its bandwidth and then incur synchronization instability. This …

Performance analysis of electricity theft detection for the smart grid: An overview

Z Yan, H Wen - IEEE Transactions on Instrumentation and …, 2021 - ieeexplore.ieee.org
Electricity theft has been a growing concern for the smart grid. It can be defined as follows:
illegal customers use energy from electric utilities without a contract or manipulate their …

[HTML][HTML] Step towards secure and reliable smart grids in Industry 5.0: A federated learning assisted hybrid deep learning model for electricity theft detection using smart …

MH Zafar, SMS Bukhari, M Abou Houran, SKR Moosavi… - Energy Reports, 2023 - Elsevier
Abstract The integration of Smart Grid technology and conceptual Industry 5.0 has paved the
way for advanced energy management systems that enhance efficiency and revolutionized …

Multi-objective design of the energy storage-based combined heat and power off-grid system to supply of thermal and electricity consumption energies

SM Rashid, A Zare-Ghaleh-Seyyedi… - Journal of Energy …, 2023 - Elsevier
Simultaneous consumption of electrical and thermal energy management, together with
economic and technical advantages of close-to-consumption feeding of consumers, has …