Distributionally Robust Chance Constrained Optimization for Providing Flexibility in an Active Distribution Network

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Solving optimization problems is a key task for which quantum computers could possibly provide a speedup over the best known classical algorithms. Particular classes of optimization problems including semidefinite programming (SDP) and linear programming ( ...

Distributionally robust optimization (DRO) studies decision problems under uncertainty where the probability distribution governing the uncertain problem parameters is itself uncertain. A key component of any DRO model is its ambiguity set, that is, a fami ...

With the photovoltaics (PV) market reaching the terawatt scale, assessing the performance of PV systems accurately has become essential. Traditional approaches to fault detection and diagnosis (FDD) and performance loss rate (PLR) evaluation often operate ...

In densely populated or mountainous countries where installation of large‐scale solar plants is challenging, photovoltaic (PV) modules in building applications offer a solution by transforming passive surfaces into energy‐generating systems. The need for f ...

In conventional n-i-p perovskite solar cells, unsolved issues persist, particularly concerning notorious performance degradation under prolonged heat exposure at 85°C. By reducing the concentration of 4-tert-butylpyridine (tBP) and lithium bis(trifluoromet ...

This study investigates the impact of 35Cl nuclear data uncertainties on the neutronics of Molten Chloride Fast Reactors (MCFR), specifically focusing on two models: MCFR-C and MCFR-D. Using the Monte Carlo code SERPENT2, a comprehensive sensitivity analys ...

Studying the self-assembly of chiral molecules in two dimensions offers insights into the fundamentals of crystallization. Using scanning tunneling microscopy, we examine an uncommon aggregation of polyaromatic chiral molecules on a silver surface. Dense p ...

The global transition to decentralized energy systems signifies a fundamental transformation toward sustainable energy paradigms. This study specifically focuses on the Swiss energy system, analyzing how dynamic pricing influences the strategic decisions o ...

Ensuring reliable operation in power grids given the complexity of modern electricity networks with increasing demands, varying generation and flows present significant computational challenges. Addressing these challenges, we develop efficient methods for ...

A new concept based on Power Plant Units, able to deliver renewable energy on demand, for the transition from fossil fuels to renewable energy in Switzerland is presented. The technically realized efficiencies showed that complete electrification leads to ...

Solar fuels offer a promising approach to provide sustainable fuels by harnessing sunlight(1,2). Following a decade of advancement, Cu2O photocathodes are capable of delivering a performance comparable to that of photoelectrodes with established photovolta ...

We perform Monte-Carlo measurements of two and three-point functions of charged operators in the critical O(2) model in 3 dimensions. Our results are compatible with the predictions of the large charge superfluid effective field theory. To obtain reliable ...

We consider the problem of finding a low-cost allocation and ordering of tasks between a team of robots in a d-dimensional, uncertain, landscape, and the sensitivity of this solution to changes in the cost function.Various algorithms have been shown to giv ...

Porous monolithic microreactors show great promise in catalytic applications, but are usually based on non-renewable materials. Herein, we demonstrate a Ni/Au nanoparticle-decorated carbonized wood (Ni/Au-CW) monolithic membrane microreactor for the effici ...

Finding Nash equilibrium in an imperfect market with active and strategic resources is key to the successful operation of the electricity market. A hierarchical Nash distributed reinforcement learning (HNDRL) framework is proposed to realize the interactio ...

We propose a mathematical and numerical model for the simulation of the heart function that couples cardiac electrophysiology, active and passive mechanics and hemodynamics, and includes reduced models for cardiac valves and the circulatory system. Our mod ...

Distributionally Robust Chance Constrained Optimization for Providing Flexibility in an Active Distribution Network

Chattez avec Graph Search

Slack-variable Approach for Variational Quantum Semidefinite Programming

Distributionally Robust Optimization

Detect, Decouple, Optimise: Insights into Solar Photovoltaics Faults and Performance Trends

Characterization of Lightweight Polymeric Honeycomb Structures for Use as Backsides in Glass‐Free PV Modules

De-doping engineering for efficient and heat-stable perovskite solar cells

Uncertainty quantification of Cl-35 nuclear data on a Molten Chloride Fast Reactor

An aperiodic chiral tiling by topological molecular self-assembly

Power Shift: Quantifying the Role of Actors in the Multi-Actor Swiss Energy System Decentralization

Multi-Period Optimal Power Flow: Convex Relaxations and Parallel Algorithms

Power plant units for CO2 neutral energy security in Switzerland

High carrier mobility along the [111] orientation in Cu2O photoelectrodes

Numerical tests of the large charge expansion

Auction algorithm sensitivity for multi-robot task allocation

Carbonized wood impregnated with bimetallic nanoparticles as a monolithic continuous-flow microreactor for the reduction of 4-nitrophenol

Finding Nash equilibrium based on reinforcement learning for bidding strategy and distributed algorithm for ISO in imperfect electricity market

A mathematical model that integrates cardiac electrophysiology, mechanics, and fluid dynamics: Application to the human left heart