[HTML][HTML] From concept drift to model degradation: An overview on performance-aware drift detectors
The dynamicity of real-world systems poses a significant challenge to deployed predictive
machine learning (ML) models. Changes in the system on which the ML model has been …
machine learning (ML) models. Changes in the system on which the ML model has been …
Cyber threats to smart grids: Review, taxonomy, potential solutions, and future directions
Smart Grids (SGs) are governed by advanced computing, control technologies, and
networking infrastructure. However, compromised cybersecurity of the smart grid not only …
networking infrastructure. However, compromised cybersecurity of the smart grid not only …
Modelling of a multi-stage energy management control routine for energy demand forecasting, flexibility, and optimization of smart communities using a Recurrent …
This paper proposes an innovative algorithm for community energy management control,
able to involve customers in energy trading by exploiting their potential energy flexibility. The …
able to involve customers in energy trading by exploiting their potential energy flexibility. The …
Short-term load forecasting of microgrid via hybrid support vector regression and long short-term memory algorithms
Short-Term Load Forecasting (STLF) is the most appropriate type of forecasting for both
electricity consumers and generators. In this paper, STLF in a Microgrid (MG) is performed …
electricity consumers and generators. In this paper, STLF in a Microgrid (MG) is performed …
Detecting stealthy false data injection attacks in the smart grid using ensemble-based machine learning
Stealthy false data injection attacks target state estimation in energy management systems
in smart power grids to adversely affect operations of the power transmission systems. This …
in smart power grids to adversely affect operations of the power transmission systems. This …
Smart grid cyber security enhancement: Challenges and solutions—A review
T Alsuwian, A Shahid Butt, AA Amin - Sustainability, 2022 - mdpi.com
The incorporation of communication technology with Smart Grid (SG) is proposed as an
optimal solution to fulfill the requirements of the modern power system. A smart grid …
optimal solution to fulfill the requirements of the modern power system. A smart grid …
[HTML][HTML] Multi-aspect rule-based AI: Methods, taxonomy, challenges and directions toward automation, intelligence and transparent cybersecurity modeling for critical …
Critical infrastructure (CI) typically refers to the essential physical and virtual systems, assets,
and services that are vital for the functioning and well-being of a society, economy, or nation …
and services that are vital for the functioning and well-being of a society, economy, or nation …
A comprehensive survey on the cyber-security of smart grids: Cyber-attacks, detection, countermeasure techniques, and future directions
One of the significant challenges that smart grid networks face is cyber-security. Several
studies have been conducted to highlight those security challenges. However, the majority …
studies have been conducted to highlight those security challenges. However, the majority …
Cyber-resilient smart cities: Detection of malicious attacks in smart grids
M Mohammadpourfard, A Khalili, I Genc… - Sustainable Cities and …, 2021 - Elsevier
A massive challenge for future cities is being environmentally sustainable by incorporating
renewable energy resources (RES). At the same time, future smart cities need to support …
renewable energy resources (RES). At the same time, future smart cities need to support …
A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges
Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms
industry has been revolutionized by the concept of 5G networks. Since late 2018 …
industry has been revolutionized by the concept of 5G networks. Since late 2018 …