Énergie, environnement, ressources naturelles
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Nous étudions la stabilité des accords environnementaux internationaux portant sur une cible commune pour le niveau d'émissions polluantes. En signant l'ac...
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The increasingly complex energy systems are turning the attention towards model-free control approaches such as reinforcement learning (RL). This work propos...
référence BibTeXAdaptive simultaneous stochastic optimization of mining complexes: Where is the value coming from?
This paper aims to identify the sources of value created in the strategic plan of a mining complex when the adaptive simultaneous stochastic optimization of ...
référence BibTeXStochastic stope design optimization under grade uncertainty and dynamic development costs
Stope design optimization defines mineable three-dimensional material volumes to be extracted from a mineral deposit, aiming to maximize cashflows subject ...
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The geometallurgical models that predicting the throughput/comminution performance of the a processing plant often rely on rock hardness models, which are ba...
référence BibTeXBlackbox optimization
The goal of the Encyclopedia of Optimization is to introduce the reader to a complete set of topics that sh...
référence BibTeXIntegrating learning and explicit model predictive control for unit commitment in microgrids
Dans cet article, nous adressons le problème de l’ordonnancement de l’arrêt/démarrage des génératrices dans un microréseau selon une approche visant à s’assu...
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A new linear model is presented herein to optimize strategic production scheduling of an open pit mine with multiple processing streams while accounting for...
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Geostatistically simulated representations of mineral deposits are used for resource/reserve assessments, mine design and production planning, project evalua...
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Industrial mining complexes can be optimized using simultaneous stochastic optimization (SSO), which manages the risks associated with meeting production tar...
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This paper presents a new truck dispatching policy approach that is adaptive given different mining complex configurations in order to deliver supply materia...
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The existing technologies that update geostatistically simulated models of mineral deposits cannot self-learn from incoming new information generated in oper...
référence BibTeXTraining image free high-order stochastic simulation based on aggregated kernel statistics
A training-image free, high-order sequential simulation method is proposed herein, which is based on the efficient inference of high-order spatial statistics...
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This article presents a novel stochastic optimization model that simultaneously optimizes the short-term extraction sequence, shovel relocation, scheduling o...
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An innovative strategic mine planning approach is applied to a multi-mine and multi-process gold mining complex that simultaneously considers feasible capita...
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NOMAD is software for optimizing blackbox problems. In continuous development since 2001, it constantly evolved with the integration of new algorithmic...
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Pour satisfaire une demande croissante, les pratiques agricoles sont passées de la fertilisation organique des sols à une agriculture intensive et hautement ...
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We empirically test the prediction of Pastor, stambaugh, and Taylor (2020) that green firms outperform brown firms when concerns about climate change increas...
référence BibTeXIdentification of hot water end-use process of electric water heaters from energy measurements
This paper presents an algorithm for the identification of parameters for a stochastic hot water end-use process that drives a homogeneous population of ther...
référence BibTeXHydropower optimization
Energy generation has always been a major stake in our economy and is all the more so with the increase in energy demand all over the world. In that context,...
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