Slicing Distributed Systems

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The current global energy landscape is characterized by an increasing demand for affordable and sustainable energy sources, leading to an ever increasing integration of intermittent renewable energy resources into the grid. The intermittent nature of these ...

Non-convex constrained optimization problems have become a powerful framework for modeling a wide range of machine learning problems, with applications in k-means clustering, large- scale semidefinite programs (SDPs), and various other tasks. As the perfor ...

The world by and large has adopted the The Paris Agreement, which commits any signing party to cut greenhouse emissions drastically and prevent global heating above 2 °C beyond pre-industrial levels. For this ambitious goal to be met, ratifying states need ...

Design exploration is a creative process that consists of the incremental generation of design candidates. Supported by digital means or not, the process handles the ill-structured nature of design and allows creativity to flourish through diversity of des ...

Energy balance in a power system must be maintained at all times, regardless of the variations in generation and consumption. Large Pumped Hydro Storage Plants (PHSPs) are introduced to the power system to accumulate the excess of energy during the low dem ...

The mechanisms maintaining adult lymphatic vascular specialization throughout life and their role in coordinating inter-organ communication to sustain homeostasis remain elusive. We report that inactivation of the mechanosensitive transcription factor Foxc ...

Astrobots are robotic artifacts whose swarms are used in astrophysical studies to generate the map of the observable universe. These swarms have to be coordinated with respect to various desired observations. Such coordination\footnote{\z{A coordination sa ...

Energy systems are undergoing a profound transition worldwide, substituting nuclear and thermal power with intermittent renewable energy sources (RES), creating discrepancies between the production and consumption of electricity and increasing their depend ...

This paper describes the second iteration in the development of a simulation tool that provides trade-offs of avionic architectures for future Active Debris Removal (ADR) space missions. ...

Hydropower (HP) is the backbone of the Swiss electricity system providing around 60 % (36 TWh/a) of the total electricity generated on a yearly average. With the planned phase-out of nuclear power plants, HP and other Renewable Energy Sources (RES) will ne ...

This paper analyzes the trajectories of stochastic gradient descent (SGD) to help understand the algorithm’s convergence properties in non-convex problems. We first show that the sequence of iterates generated by SGD remains bounded and converges with prob ...

This paper introduces a new algorithm for consensus optimization in a multi-agent network, where all agents collaboratively find a minimizer for the sum of their private functions. All decentralized algorithms rely on communications between adjacent nodes. ...

Modern datacenters need to tackle efficiently the increasing demand for computing resources while minimizing energy usage and monetary costs. Power market operators have recently introduced emerging demand-response programs, in which electricity consumers ...

This paper presents a method to determine the optimal location, energy capacity, and power rating of distributed battery energy storage systems at multiple voltage levels to accomplish grid control and reserve provision. We model operational scenarios at a ...

To avoid the geographical and topographical prerequisites of the conventional pumped hydro energy storage, the use of underground cavities as water reservoirs allows countries without steep topography, such as Belgium, to increase the potential of the ener ...

This study analyses the power to methane - and to methanol processes in the view of their efficiency in energy storage. A systematic investigation of the differences on the two production systems is performed. The energy storage potential of CO2 to methano ...

In this thesis we consider inverse problems involving multiscale elliptic partial differential equations. The name multiscale indicates that these models are characterized by the presence of parameters which vary on different spatial scales (macroscopic, m ...

Energy storage solutions are a vital component of the global transition toward renewable energy sources. The power-to-gas (PtG) concept, which stores surplus renewable energy in the form of methane, has therefore become increasingly relevant in recent year ...

Several useful variance-reduced stochastic gradient algorithms, such as SVRG, SAGA, Finito, and SAG, have been proposed to minimize empirical risks with linear convergence properties to the exact minimizers. The existing convergence results assume uniform ...

Cancer is the second leading cause of death in the world and melanoma is the deadliest type of skin cancer. Although surgery, radiotherapy and chemotherapy are still standard treatments, the discovery of the role played by the immune system in cancer has a ...

Slicing Distributed Systems

Chattez avec Graph Search

Flexible High Power Electronics Solutions for Hydro-Power Applications

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Metal Catalysts for the Electrochemical Reduction of CO2

Policy-based Exploration of Equilibrium Representations (PEER): A topology grammar for generative conceptual structural design

Hybrid Modular Multilevel Converter for Pumped Hydro Storage Applications

FOXC2 controls adult lymphatic endothelial specialization, function, and gut lymphatic barrier preventing multiorgan failure

Data-Driven Convergence Prediction of Astrobots Swarms

The Potential of Vehicle-to-Grid to Support the Energy Transition: A Case Study on Switzerland

Simulation Tool : Resources Management in High Performance Avionic for ADR Missions

Swiss Potential for Hydropower Generation and Storage - Synthesis report

On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems

Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization

ECOGreen: Electricity Cost Optimization for Green Datacenters in Emerging Power Markets

Siting and Sizing of Energy Storage Systems: Towards a Unified Approach for Transmission and Distribution System Operators for Reserve Provision and Grid Support

Underground Pumped Storage Hydropower Case Studies in Belgium: Perspectives and Challenges

Renewable energy storage via CO2 and H-2 conversion to methane and methanol: Assessment for small scale applications

Penalization and Bayesian numerical methods for multiscale inverse problems

Efficient Base-Metal NiMn/TiO2 Catalyst for CO2 Methanation

Convergence Of Variance-Reduced Learning Under Random Reshuffling

Development of a nano-adjuvant cancer vaccine and its evaluation for melanoma in combination with radiotherapy