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Read more: Un momentum pour des frappes ukrainiennes massives contre l’industrie pétrolière russe est arrivéAuteurs : Prof. Damien ERNST et Prof. Corentin de Salle. Télécharger la version pdf de cet article: https://hdl.handle.net/2268/312421 Février 2022, le déclenchement de la guerre russo-ukrainienne bouleverse les équilibres du monde. Celui de l’énergie en particulier. Depuis, le monde occidental s’est…
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IMP-MARL: Infrastructure Management Planning via MARL
Read more: IMP-MARL: Infrastructure Management Planning via MARLPascal Leroy, Pablo G. Morato, Jonathan Pisane, Athanasios Kolios, Damien Ernst. 37th Conference on Neural Information Processing Systems (NeurIPS 2023) Track on Datasets and Benchmarks. https://hdl.handle.net/2268/304451 Infrastructure Management Planning (IMP) is a modern application addressing current societal and environmental concerns.…
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Warming up recurrent neural networks to maximise reachable multistability greatly improves learning
Read more: Warming up recurrent neural networks to maximise reachable multistability greatly improves learningRecurrent neural networks (RNNs) are a special type of artificial neural networks that can be used to process sequences, such as time series or sentences, through an internal state that serves as a memory. However, training RNNs is known to…
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Energy Conversation: The Role of ‘Necessary Conditions’ in Merging Contrasting Energy Perspectives
Read more: Energy Conversation: The Role of ‘Necessary Conditions’ in Merging Contrasting Energy PerspectivesSynopsis: In a spirited discussion about energy strategies, Anna champions the cause of cost-effectiveness, while Lucas emphasizes the importance of energy return on investment. As tensions rise, Eva introduces a groundbreaking approach that could bridge their differences.
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La politisation de la Boucle du Hainaut compromet l’avenir de la province, du pays et du climat
Read more: La politisation de la Boucle du Hainaut compromet l’avenir de la province, du pays et du climatQui ne rêverait pas d’un Hainaut prospère où le taux d’emploi serait à des niveaux jamais atteints ? Qui ne rêverait pas que la Belgique puisse bénéficier de l’énergie produite par ses éoliennes en mer du Nord afin de décarboner…
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Job offers – Research positions in Machine Learning/Optimisation for Energy Systems
Read more: Job offers – Research positions in Machine Learning/Optimisation for Energy SystemsThe research positions are about combining modelling, simulation, optimisation, and machine learning techniques in order to investigate several technical, economic and regulatory aspects induced by major upcoming changes in energy (and in particular, electricity) generation, transmission, distribution and consumption in…
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Recurrent neural networks, hidden states and beliefs in partially observable environments
Read more: Recurrent neural networks, hidden states and beliefs in partially observable environmentsDespite achieving impressive performances on various tasks, modern artificial intelligence (AI) systems have become complex black box models. A growing body of work aspires to open the box and understand its internal functioning. In this new article (Lambrechts et al.,…
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The Graph-Based Optimization Modeling Language (GBOML)
Read more: The Graph-Based Optimization Modeling Language (GBOML)The decarbonisation of energy systems is one of the main challenges of our century. Finding the optimal technological mix to achieve that goal is a major concern for policy and decision makers alike. These problems are known as energy system…
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Gym-ANM: Reinforcement learning environments for active network management tasks in electricity distribution systems
Read more: Gym-ANM: Reinforcement learning environments for active network management tasks in electricity distribution systemsDownload the paper Summary: Active network management (ANM) of electricity distribution networks include many complex stochastic sequential optimization problems. These problems need to be solved for integrating renewable energies and distributed storage into future electrical grids. In this work, we…
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Remote Renewable Hubs for Carbon-Neutral Fuel Production
Read more: Remote Renewable Hubs for Carbon-Neutral Fuel ProductionDecarbonising sectors such as aviation, heating and industry has proved difficult via direct electrification. Hence, the synthesis of carbon-neutral fuels and feedstocks from renewable electricity has received much attention in recent years. However, in European countries such as Belgium, the…

