Find out more about our session on Wednesday 21 January.

Power grids are critical infrastructures of paramount importance to modern society and, therefore, engineered to operate under diverse conditions and failures. The ongoing energy transition poses new challenges for the decision-makers and system operators. Therefore, we must develop grid analysis algorithms to ensure reliable operations. These key tools include power flow analysis and system security analysis, both needed for effective operational and strategic planning. The literature review shows a growing trend of machine learning (ML) models that perform these analyses effectively. In particular, Graph Neural Networks (GNNs) stand out in such applications because of the graph-based structure of power grids.

Private companies are testing new power systems for longer rover missions and future human lunar habitats. Breakthroughs, discoveries, and DIY tips sent every weekday. A future lunar lander bound for the dark side of the moon will carry along a piece of equipment that could make these missions a little bit brighter. The lander in question is operated by Firefly Aerospace, the first commercial company to successfully land and operate spacecraft on the moon. A LightPort wireless power receiver will be mounted atop the Firefly Blue Ghost lander's upper deck.Developed by Canadian aerospace startup Volta Space Technologies, the cargo plays a key role in Volta's ultimate goal: establishing a network of satellites that can wirelessly beam solar power to spacecraft on the lunar surface.

Power consumption has become a critical aspect of modern life due to the consistent reliance on technological advancements. Reducing power consumption or following power usage predictions can lead to lower monthly costs and improved electrical reliability. The proposal of a holistic framework to establish a foundation for IoT systems with a focus on contextual decision making, proactive adaptation, and scalable structure. A structured process for IoT systems with accuracy and interconnected development would support reducing power consumption and support grid stability. This study presents the feasibility of this proposal through the application of each aspect of the framework. This system would have long term forecasting, short term forecasting, anomaly detection, and consideration of qualitative data with any energy management decisions taken. Performance was evaluated on Power Consumption Time Series data to display the direct application of the framework.

Therefore, developing grid analysis algorithms is important for supporting reliable operations.

Physical simulations are at the core of many critical industrial systems. However, today' s physical simulators have some limitations such as computation

Abstract--Critical infrastructures are becoming increasingly complex as our society becomes increasingly dependent on them. This complexity opens the door to new possibilities for attacks and a need for new defense strategies. Our work focuses on instability attacks on the power grid, wherein an attacker causes cascading outages by introducing unstable dynamics into the system. When stress is place on the power grid, a standard mitigation approach is load-shedding: the system operator chooses a set of loads to shut off until the situation is resolved. While this technique is standard, there is no systematic approach to choosing which loads will stop an instability attack. We show a proof of concept on the IEEE 14 Bus System using the Achilles Heel T echnologies Power Grid Analyzer, and show through an implementation of modified Prony analysis (MPA) that MPA is a viable method for detecting instability attacks and triggering defense mechanisms. Throughout the past two hundred years, the power grid has become a core part of the infrastructure of the world. Every modern facility relies on electricity to sustain the way of life that has become prevalent in first world countries, powering everything from life sustaining equipment to financial transaction infrastructure.

We first would like to thank the reviewers for their insightful comments and suggestions. F oreword: This paper is framed as a methodological and theoretical contribution, with simple experimental validation. There is in particular no specific ethical concern with this paper - something we will add in a "Broader Impact" section. The uniqueness is only proven for the linear system. We will add one sentence along this line.