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Reinforcement Learning for Outdoor Balloon Navigation: A Successful Controller for an Autonomous Balloon

Publications associées (38)

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Geometric deep learning for medium-range weather prediction

Medium-range numerical weather prediction (NWP) is crucial to human activities. Reliable weather forecasts allow better resource management and are essential for disaster preparation. Modern NWP models provide accurate medium-range forecasts, but they requ ...

2020

Short-Term Forecasting of Wake-Induced Fluctuations in Offshore Wind Farms

Arslan Salim Dar

The increasing share of offshore wind energy traded at the spot market requires short term wind direction forecasts to determine wake losses and increased power fluctuations due to multiple wakes in certain wind directions. The information on potential pow ...

2019

NUMERICAL WEATHER MODELS FOR RESOURCE ASSESSMENT OF ALPINE WIND POWER

Introduction With the decision to move away from nuclear-based power generation, Switzerland has committed itself to an ambitious energy transition. Wind power appears a suitable candidate to partially fill the gap left behind by nuclear. It has a favorabl ...

2019

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With rising levels of wind power penetration in global electricity production, the relevance of wind power prediction is growing. More accurate forecasts reduce the required total amount of energy reserve capacity needed to ensure grid reliability and the ...

2019

Microphysics of Snowfall Over Coastal East Antarctica Simulated by Polar WRF and Observed by Radar

Alexis Berne, Josué Etienne Gehring, Nikola Besic, Etienne Gabriel Henri Vignon, Nicolas Jean François Jullien

The current assessment of the Antarctic surface mass balance mostly relies on reanalysis products or climate model simulations. However, little is known about the ability of models to reliably represent the microphysical processes governing the precipitati ...

AMER GEOPHYSICAL UNION2019

Switzerland has committed itself to an ambitious energy strategy. It aims to replace the exist- ing nuclear generation capacity with predominantly indigenous renewable resources. Wind power could play a significant role in this transition, yet the wind res ...

EPFL2019

Article Open Access Published: 08 November 2019 Nowcasting lightning occurrence from commonly available meteorological parameters using machine learning techniques Amirhossein Mostajabi, Declan L. Finney, Marcos Rubinstein & Farhad Rachidi npj Climate and ...

2019

From the clouds to the ground - Effects of flow-precipitation interactions on snow distribution in complex alpine terrain

Franziska Gerber

Knowledge about the spatial distribution of seasonal snow is essential e.g. to efficiently manage fresh water resources or for hydro-power companies. The large-scale gradient of snow accumulation over mountain ranges is mainly determined by lifting condens ...

EPFL2018

The measurement of different atmospheric flow quantities is of utmost importance for a correct understanding of most atmospheric phenomena. Researchers and industry in the fields of meteorology and wind engineering demand extensive and accurate measurement ...

EPFL2018

Urban parametrizations have been recently developed and integrated in mesoscale meteorological models for a better reproduction of urban heat islands and to compute building energy consumption. The objective of the present study is to evaluate the value of ...

2018