Publications related to Optimal Short-Term Dispatch of Pumped-Storage Hydropower Plants Including Hydraulic Short Circuit

Related publications (15)

A Comparative Analysis of Tools & Task Types for Measuring Computational Problem-Solving

Richard Lee Davis, Engin Walter Bumbacher, Jérôme Guillaume Brender

How to measure students' Computational Problem-Solving (CPS) competencies is an ongoing research topic. Prevalent approaches vary by measurement tools (e.g., interactive programming, multiple-choice tests, or programming-independent tests) and task types ( ...

Association for Computing Machinery2024

Balancing the grid: assessing the benefits of aggregated residential batteries for frequency control and prosumers

Mario Paolone, Mokhtar Bozorg, Alejandro Pena Bello

The massive increase in stochastic renewable generation, expected in the context of the energy transition, poses challenges to the stability of the power grid. Battery energy storage can positively impact the penetration of distributed solar photovoltaic ( ...

Elsevier BV2024

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Mehmet Fatih Sahin

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 ...

EPFL2023

Hardware-Software co-design Methodologies for Edge AI Optimization

Flavio Ponzina

ML-based edge devices may face memory and computational errors that affect applications' reliability and performance. These errors can be the result of particular working conditions (e.g., radiation areas in physical experiments or avionics) or could be th ...

EPFL2023

Streaming and Matching Problems with Submodular Functions

Paritosh Garg

Submodular functions are a widely studied topic in theoretical computer science. They have found several applications both theoretical and practical in the fields of economics, combinatorial optimization and machine learning. More recently, there have also ...

EPFL2022

Robust design using multiobjective optimisation and artificial neural networks with application to a heat pump radial compressor

Jürg Alexander Schiffmann, Soheyl Massoudi, Cyril Picard

Although robustness is an important consideration to guarantee the performance of designs under deviation, systems are often engineered by evaluating their performance exclusively at nominal conditions. Robustness is sometimes evaluated a posteriori throug ...

2022

Prospective study on the cost evolution for key energy technologies

François Maréchal

Drastic variations of energy costs are witnessed in past decades, especially for low-carbon technologies, where decreasing and increasing trends co-existed. Estimating the cost evolution in the future is hence essential in long-term energy planning. Despit ...

2022

A review of CUDA optimization techniques and tools for structured grid computing

Mohammad Khaja Nazeeruddin

Recent advances in GPUs opened a new opportunity in harnessing their computing power for general purpose computing. CUDA, an extension to C programming, is developed for programming NVIDIA GPUs. However, efficiently programming GPUs using CUDA is very tedi ...

2020

110th Anniversary: A Feature-Based Analysis of Static Real-Time Optimization Schemes

Dominique Bonvin

This paper addresses the steady-state optimization of continuous processes in the presence of uncertainty in the form of unknown or time-varying model parameters, structural plant-model mismatch, and disturbances. To address these issues, we assume that ce ...

AMER CHEMICAL SOC2019

Comparative exergy and economic assessment of fossil and biomass-based routes for ammonia production

François Maréchal, Daniel Alexander Florez Orrego

The use of biomass gasification for partially or totally replacing methane in the integrated syngas and ammonia production plant is compared with the performance of the conventional route, typically based on steam methane reforming. However, by undertaking ...

Elsevier2019

Stochastic Frank-Wolfe for Composite Convex Minimization

Volkan Cevher, Alp Yurtsever

A broad class of convex optimization problems can be formulated as a semidefinite program (SDP), minimization of a convex function over the positive-semidefinite cone subject to some affine constraints. The majority of classical SDP solvers are designed fo ...

2019

Robust optimization of power grid with distributed generation and improved reliability

Zhengchao Wang, Amarasinghage Tharindu Dasun Perera

Uncertainties of demand, generation and component outage can lead to black-outs in the grid. This study proposes an optimization algorithm (based on Benders Decomposition (BD)) to optimize a Power Transmission System (PTS) that is robust to aforementioned ...

ELSEVIER SCIENCE BV2019

Exploration of spatial structures made from reused elements and the design of optimal kits-of-parts

Corentin Jean Dominique Fivet, Gennaro Senatore, Jan Friedrich Georg Brütting

Reuse reduces raw material use, waste generation and energy consumption caused by building construction. A substantial share of these impacts is contributed by load-bearing systems be-cause of their mass- and energy-intensive production process. Therefore, ...

Taylor & Francis Group2019

Robust multi-objective optimization of solid oxide fuel cell–gas turbine hybrid cycle and uncertainty analysis

François Maréchal, Shivom Sharma

Chemical process optimization problems often have multiple and conflicting objectives, such as capital cost, operating cost, production cost, profit, energy consumptions and environmental impacts. In such cases, Multi-Objective Optimization (MOO) is suitab ...

2018

Pilot studies on optimizing land use, building density and solar electricity generation in dense urban settings

François Maréchal, Shanshan Hsieh

Previous studies have identified links between the urban form and the performance of urban energy systems. Land use and density are two important aspects of urban planning and design. This paper studies the relationship between these aspects and the perfor ...

UNIV POLITECNICA VALENCIA2018