[HTML][HTML] Securing modern power systems: Implementing comprehensive strategies to enhance resilience and reliability against cyber-attacks
Recent technological advancements in the energy sector, such as the proliferation of electric
vehicles, and smart power electronic devices, have substantially increased the demand for …
vehicles, and smart power electronic devices, have substantially increased the demand for …
[HTML][HTML] Power system restoration with large renewable Penetration: State-of-the-Art and future trends
The catastrophic blackout events and ever-increasing penetration of renewable power
generation highlight an advanced restoration strategy to effectively and reliably employ …
generation highlight an advanced restoration strategy to effectively and reliably employ …
Resilience assessment for integrated energy system considering gas-thermal inertia and system interdependency
The gas-thermal inertia and power-gas-heat interdependency, as two fundamental features
of the IES, play a crucial role in IES resilience during extreme events. This paper proposes a …
of the IES, play a crucial role in IES resilience during extreme events. This paper proposes a …
A review on data-driven security assessment of power systems: Trends and applications of artificial intelligence
Boosting the complexity of the electricity network, penetration of renewable resources, and
modernization of power systems has resulted in an increase in the complexity of the power …
modernization of power systems has resulted in an increase in the complexity of the power …
Encoding carbon emission flow in energy management: A compact constraint learning approach
Decarbonizing the energy supply is essential and urgent to mitigate the increasingly visible
climate change. Its basis is identifying emission responsibility during power allocation by the …
climate change. Its basis is identifying emission responsibility during power allocation by the …
[HTML][HTML] Resilient energy management of a multi-energy building under low-temperature district heating: A deep reinforcement learning approach
The corrective control of a building-level multi-energy system (MES) for emergency load
shedding is essential to optimize the operating cost after contingency. For a Danish case …
shedding is essential to optimize the operating cost after contingency. For a Danish case …
Cost-Minimized computation offloading and user association in hybrid cloud and edge computing
Smart mobile devices (SMDs) are integral for running advanced applications that demand
significant computing resources and quick response time, eg, immersive gaming and …
significant computing resources and quick response time, eg, immersive gaming and …
Predicting resilience of interdependent urban infrastructure systems
Climate change is increasing the frequency and the intensity of weather events, leading to
large-scale disruptions to critical infrastructure systems. The high level of interdependence …
large-scale disruptions to critical infrastructure systems. The high level of interdependence …
Microgrids and distribution system resilience assessment: A multi-objective robust-stochastic optimization approach considering social behavior using a deep learning …
In this paper, a new multi-objective two-stage robust-stochastic (MOTSRS) optimization
approach for assessing microgrids and distribution system resilience is proposed. A novel …
approach for assessing microgrids and distribution system resilience is proposed. A novel …
Adaptive look-ahead economic dispatch based on deep reinforcement learning
With the advancement of the energy transition, renewable power-dominated new power
systems are faced with unprecedented technical challenges. Faced with the increasing …
systems are faced with unprecedented technical challenges. Faced with the increasing …