[HTML][HTML] A review on microgrid decentralized energy/voltage control structures and methods

M Shirkhani, J Tavoosi, S Danyali, AK Sarvenoee… - Energy Reports, 2023 - Elsevier
Today, the use of renewable energy is increasing day by day due to its advantages, to solve
existing challenges such as the increase in power demand. Microgrids (MGs) which have …

[HTML][HTML] A comprehensive review on demand side management and market design for renewable energy support and integration

S Panda, S Mohanty, PK Rout, BK Sahu, SM Parida… - Energy Reports, 2023 - Elsevier
The traditional power system is facing significant transformations due to the integration of
emerging technologies, renewable energy sources (RES), and storage devices. This review …

Regret-based multi-objective optimization of carbon capture facility in CHP-based microgrid with carbon dioxide cycling

Z Zhang, FMA Altalbawy, M Al-Bahrani… - Journal of Cleaner …, 2023 - Elsevier
Nowadays it is estimated that the Earth's temperature is above the standard level compared
to pre-industrial time. The main reason for this issue is the burning of conventional energy …

A QoS-aware technique for computation offloading in IoT-edge platforms using a convolutional neural network and Markov decision process

A Heidari, MAJ Jamali, NJ Navimipour… - IT …, 2023 - ieeexplore.ieee.org
Offloading is one of the critical enablers of the Internet of Things (IoT) as it helps overcome
the resource limitations of individual objects. Offering enough computational power for IoT …

[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 …

[HTML][HTML] Advancements in digital twin technology and machine learning for energy systems: A comprehensive review of applications in smart grids, renewable energy …

O Das, MH Zafar, F Sanfilippo, S Rudra… - Energy Conversion and …, 2024 - Elsevier
The growing interest in Digital Twin (DT) Technology represents a significant advancement
in academic research and industrial applications. Leveraging advancements in Internet of …

Denial of service attacks in edge computing layers: Taxonomy, vulnerabilities, threats and solutions

R Uddin, SAP Kumar, V Chamola - Ad Hoc Networks, 2024 - Elsevier
Edge computing has emerged as the dominant communication technology connecting IoT
and cloud, offering reduced latency and harnessing the potential of edge devices. However …

Deep reinforcement learning‐based resource allocation in multi‐access edge computing

M Khani, MM Sadr, S Jamali - Concurrency and Computation …, 2024 - Wiley Online Library
Network architects and engineers face challenges in meeting the increasing complexity and
low‐latency requirements of various services. To tackle these challenges, multi‐access …

An efficient and privacy-preserving blockchain-based secure data aggregation in smart grids

A Mahmood, A Khan, A Anjum, C Maple… - … Energy Technologies and …, 2023 - Elsevier
Abstract Smart Grids (SGs) present a number of advantages over traditional grid like reduce
energy cost, reduce energy wastage, and increase reliability and transparency. However, it …

[HTML][HTML] Day-ahead energy market model for the smart distribution network in the presence of multi-microgrids based on two-layer flexible power management

GA Ranjbar, M Simab, M Nafar, M Zare - International Journal of Electrical …, 2024 - Elsevier
This study examines the implications of day-ahead energy markets (DA) for flexible power
management (FPM) in a smart distribution network (SDN) with multiple microgrids (MMGs) …