A survey on deep learning for cybersecurity: Progress, challenges, and opportunities

M Macas, C Wu, W Fuertes - Computer Networks, 2022 - Elsevier
As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …

[HTML][HTML] Design and simulation of district heating networks: A review of modeling approaches and tools

S Kuntuarova, T Licklederer, T Huynh, D Zinsmeister… - Energy, 2024 - Elsevier
District heating (DH) systems have been identified as an important component in efforts to
mitigate greenhouse gas emissions and achieve climate targets in the near future. Software …

[HTML][HTML] Simbench—a benchmark dataset of electric power systems to compare innovative solutions based on power flow analysis

S Meinecke, D Sarajlić, SR Drauz, A Klettke… - Energies, 2020 - mdpi.com
Publicly accessible, elaborated grid datasets, ie, benchmark grids, are well suited to publish
and compare methods or study results. Similarly, develo** innovative tools and algorithms …

Modeling of grid-forming and grid-following inverters for dynamic simulation of large-scale distribution systems

W Du, FK Tuffner, KP Schneider… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Historically, distribution system planning studies mainly focused on steady state and quasi-
steady state analysis, with limited attention paid to dynamic analysis. This paper develops …

Enhancing distribution system resilience with mobile energy storage and microgrids

J Kim, Y Dvorkin - IEEE Transactions on Smart Grid, 2018 - ieeexplore.ieee.org
Electrochemical energy storage (ES) units (eg, batteries) have been field-validated as an
efficient back-up resource that enhances resilience of distribution systems. However, using …

[HTML][HTML] Predictive control and coordination for energy community flexibility with electric vehicles, heat pumps and thermal energy storage

C Srithapon, D Månsson - Applied Energy, 2023 - Elsevier
Electrification of private transportation and residential heating is a potential action to
decrease significantly carbon emissions. However, the lack of coordination of such …

Coordinating multiple sources for service restoration to enhance resilience of distribution systems

Y Wang, Y Xu, J He, CC Liu… - … on Smart Grid, 2019 - ieeexplore.ieee.org
When a major outage occurs on a distribution system due to extreme events, microgrids,
distributed generators, and other local resources can be used to restore critical loads and …

Co-simulation of electricity distribution networks and peer to peer energy trading platforms

BP Hayes, S Thakur, JG Breslin - International Journal of Electrical Power & …, 2020 - Elsevier
There has been significant recent interest in local electricity trading platforms, and
particularly in the application of distributed ledger and blockchain technology for distributed …

Physics-aware neural networks for distribution system state estimation

AS Zamzam, ND Sidiropoulos - IEEE Transactions on Power …, 2020 - ieeexplore.ieee.org
The distribution system state estimation problem seeks to determine the network state from
available measurements. Widely used Gauss-Newton approaches are very sensitive to the …

Distributed energy resources on distribution networks: A systematic review of modelling, simulation, metrics, and impacts

J Caballero-Pena, C Cadena-Zarate… - International Journal of …, 2022 - Elsevier
Distributed energy resources (DERs) have gained particular attention in the last few years
owing to their rapid deployment in power capacity installation and expansion into …