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Modeling and Optimization of Terminal Airspace and Aircraft Arrival Subject To Weather Uncertainties

Publications associées (33)

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Waste collection inventory routing with non-stationary stochastic demands

Michel Bierlaire, Sacha Varone, Mohammad Yousef Maknoon, Iliya Dimitrov Markov

We solve a rich routing problem inspired from practice, in which a heterogeneous fixed fleet is used for collecting recyclable waste from large containers over a finite planning horizon. Each container is equipped with a sensor that communicates its level ...

PERGAMON-ELSEVIER SCIENCE LTD2020

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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

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

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Water vapor and temperature spatial distribution and their temporal evolution are among the most important parameters in numerical weather forecasting and climate models. The operational relative humidity/temperature profiling in meteorology is carried out ...

SPIE-INT SOC OPTICAL ENGINEERING2018

The Air Traffic Management system is heavily influenced by meteorological uncertainty, and convective weather cells represent one of the most relevant uncertain meteorological phenomena. They are weather hazards that must be avoided through tactical trajec ...

American Institute of Aeronautics and Astronautics2017

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Uncertainty affects hydrological modelling efforts from the very measurements (or forecasts) that serve as inputs to the more or less inaccurate predictions that are produced. Uncertainty is truly inescapable in hydrology and yet, due to the theoretical an ...

2017

This paper proposes randomly-generated synthetic time series incorporating climate change forecasts to quantify the variation in energy simulation due to weather inputs, i.e., Monte Carlo analysis for uncertainty and sensitivity quantification. The method ...

IBPSA-USA, ASHRAE2016

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We solve a rich logistical problem inspired from practice, in which a heterogeneous fixed fleet of vehicles is used for collecting recyclable waste from large containers over a finite planning horizon. Each container is equipped with a sensor, which commun ...

2016

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Thermal building simulation currently uses Typical Meteorological Year (TMY) data to guide the design decision-making process or for compliance with energy standards. TMY data usually excludes extremes and in many cases are gathered from microclimatic cont ...

2016

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Conventionally, building energy performance is evaluated through energy simulations using a single input weather file referring to present weather conditions. However, the analysis shown in this study demonstrates the high sensitivity of calculated energy ...

2015