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[HTML][HTML] Deep learning for intelligent demand response and smart grids: A comprehensive survey
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 …
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
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 …
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 …
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 …
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 …
electrical and thermal energy simultaneously. The aforementioned energies are generated …
A survey on imbalanced learning: latest research, applications and future directions
Imbalanced learning constitutes one of the most formidable challenges within data mining
and machine learning. Despite continuous research advancement over the past decades …
and machine learning. Despite continuous research advancement over the past decades …
Deep autoencoder-based anomaly detection of electricity theft cyberattacks in smart grids
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 …
(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
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 …
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 …
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 …
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 …
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
Simultaneous consumption of electrical and thermal energy management, together with
economic and technical advantages of close-to-consumption feeding of consumers, has …
economic and technical advantages of close-to-consumption feeding of consumers, has …