Results 51 to 60 of about 21,299,052 (294)

Towards Stochastic Optimization-Based Electric Vehicle Penetration in a Novel Archipelago Microgrid

Sensors, 2016
Due to the advantage of avoiding upstream disturbance and voltage fluctuation from a power transmission system, Islanded Micro-Grids (IMG) have attracted much attention.
Qingyu Yang, Dou An, Wei Yu, Zhengan Tan, Xinyu Yang   +4 more
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

A decomposition-based warm-start method for stochastic programming [PDF]

, 2013
In this paper we propose a warm-start technique for interior point methods applicable to multi-stage stochastic linear programming problems. The main idea is to generate an initial point by decomposing the problem at the second stage and using an ...
Colombo, Marco, Grothey, Andreas, A. Grothey, M. Colombo   +3 more
core   +1 more source

A two-stage stochastic programming model for bike-sharing systems with rebalancing

EURO Journal on Transportation and Logistics
We study the problem of determining the target inventory level of stations in a bike-sharing system, when bikes can be rebalanced later during the day.
Rossana Cavagnini, Francesca Maggioni, Luca Bertazzi, Mike Hewitt   +3 more
doaj   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Using stochastic dynamic programming to support weed management decisions over a rotation [PDF]

, 2009
This study describes a model that predicts the impact of weed management on the population dynamics of arable weeds over a rotation and presents the economic consequences.
Parsons, D. J., Milne, Alice E., Storkey, J., Lutman, P. J. W., Cussans, J., Benjamin, L. R., Parsons, David J., Milne, A. E.   +7 more
core   +1 more source

Multi-objective capacity optimization of a hybrid energy system in two-stage stochastic programming framework

Energy Reports, 2021
Hybrid energy system is one main mean to deal with the energy crisis and its capacity optimization is a key to obtain an economical and reliable supply of energy. In this paper, the capacity optimization of a novel hybrid system composed of wind turbine,
Rong Li, Yong Yang
doaj   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

A forecast-informed stochastic optimization framework for irrigation water allocation using ensemble precipitation forecasts

Hydrology Research
This study develops a forecast-informed irrigation water allocation framework integrating ensemble precipitation forecasts with an interval two-stage stochastic programming model.
Shuo Yan, Wentao Li, Qingyun Duan, Tienan Li, Shiyuan Liu   +4 more
doaj   +1 more source

Joint slot allocation and dynamic pricing of container sea–rail multimodal transportation

Journal of Traffic and Transportation Engineering (English ed. Online), 2015
The container sea–rail multimodal transport system faces complex challenges with demand uncertainties for joint slot allocation and dynamic pricing. The challenge is formulated as a two-stage optimal model based on revenue management (RM) as actual slots
Di Liu, Hualong Yang
doaj   +1 more source