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Global regularity of wave maps from $R^{2+1}$ to $H^2$. Small energy
Publications associées (32)
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Nowadays, the integration of home automation systems with smart thermostats is a common trend, designed to enhance resident comfort and conserve energy. The introduction of smart thermostats that can run machine learning algorithms has opened the door for ...
Basel2023Leveraging industrial biorefineries for the energy transition
François Maréchal, Julia Granacher
Biorefineries hold the potential to provide products and energy carriers at reduced environmental impact compared to their fossil-based counterparts. Thus, they can contribute to the decarbonization of sectors in which electrification of demands is challen ...
London2023Optimization of a hybrid solar-geothermal energy system at building scale
Building sector decarbonisation involves large scale integration of renewable energy sources within the energy mix commonly used to fulfil the heat demand. For this, to combine several energy sources and to control conversion systems based on a systemic ap ...
HEPIA Geneva University of Applied Sciences and Arts Western Switzerland2021RRAM-VAC: A Variability-Aware Controller for RRAM-based Memory Architectures
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The growing need for connected, smart and energy efficient devices requires them to provide both ultra-low standby power and relatively high computing capabilities when awoken. In this context, emerging resistive memory technologies (RRAM) appear as a prom ...
2020Design of a set of indicators suitable to help decision-making on energy strategies for Cuba
The goal of this Master thesis project was to design a methodology that helps to analyze a set of indicators that can support the decision-making process, by identifying energy strategies with a temporal horizon 2030-2050 in Cuba. Several sources of data a ...
2020Adaptive hot water production based on Supervised Learning
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A major challenge in the common approach of hot water generation in residential houses lies in the highly stochastic nature of domestic hot water (DHW) demand. Learning hot water use behavior enables water heating systems to continuously adapt to the stoch ...
2020Machine Learning and Geographic Information Systems for large-scale mapping of renewable energy potential
A promising pathway to follow in order to reach sustainable development goals is
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EPFL2019Fusing TensorFlow with building energy simulation for intelligent energy management in smart cities
Buildings account for 35% of the global final energy demand. Efficiency improvements and advanced control strategies have a significant impact in the reduction of energy costs and CO2 emissions. Building energy simulation is widely used to help planners, c ...
2019Hire fast, fire slow: the employment benefits of energy transitions
Marc Vielle, Vincent Moreau, François Richard Vuille, Yann Füllemann
The transition towards decarbonized and efficient energy systems has broad socio-economic implications. We estimate the potential impacts on employment from efforts in energy efficiency in industry, transport and buildings as well as substituting local ren ...
2019Renewable energy storage via CO2 and H-2 conversion to methane and methanol: Assessment for small scale applications
Emanuele Moioli, Robin Tobias Andreas Mutschler
This study analyses the power to methane - and to methanol processes in the view of their efficiency in energy storage. A systematic investigation of the differences on the two production systems is performed. The energy storage potential of CO2 to methano ...
PERGAMON-ELSEVIER SCIENCE LTD2019