Concept

Consensus forecast

Publications associées (51)

Demand forecasting for a novel transportation mode

The vehicle sharing systems (VSSs) are becoming more and more popular due to both economic and environmental effects. However, these systems mainly focus on two specific types of vehicles: bicycles and cars. Recently, some other types of vehicles (e.g. lig ...

2019

Model based forecasting for demand response strategies

Lorenzo Nespoli

The incremental deployment of decentralized renewable energy sources in the distribution grid is triggering a paradigm change for the power sector. This shift from a centralized structure with big power plants to a decentralized scenario of distributed ene ...

EPFL2019

Joint Fusion Learning of Multiple Time Series Prediction

Orçun Gümüs

Accurate traffic density estimations is essential for numerous purposes like the developing successful transit policies or to forecast future traffic conditions for navigation. Current developments in the machine learning and computer systems bring the tra ...

2019

Robust aircraft trajectory planning under uncertain convective environments with optimal control and rapidly developing thunderstorms

Maryam Kamgarpour

Convective weather, and thunderstorm development in particular, represents a major source of disruption, delays and safety hazards in the Air Traffic Management system. Thunderstorms are challenging to forecast and evolve on relatively rapid timescales; th ...

2019

Information-gap decision theory (IGDT): a new promising method for management of uncertainties in hydropower projects: case study

Anton Schleiss, Felix Oberrauch

The design of hydropower is determined by estimates and long-term forecasts. These forecasts and estimates are highly uncertain and make performance evaluation and design choices challenging. Effective values deviating from the estimates can have a signifi ...

Hydropower&Dams, Aqua Media International2018

Improvement and implementation of a flow forecasting system for Southern Africa

This master project's objectives are: - Understanding of the main approaches commonly used for discharge forecasting. - Understanding of key concepts of machine learning and evolutionary optimization. - Learning how to interpret discharge forecasts, both d ...

2017

Reliable estimates of predictive uncertainty for an Alpine catchment using a non-parametric methodology

Anton Schleiss, Bettina Schaefli, José Pedro Gamito de Saldanha Calado Matos

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

Lightning Potential Index performances in multimicrophysical cloud-resolving simulations of a back-building mesoscale convective system: The Genoa 2014 event

Martina Lagasio

Severe weather events are responsible for hundreds of fatalities and millions of euros of damage every year on the Mediterranean basin. Lightning activity is a characteristic phenomenon of severe weather and often accompanies torrential rainfall, which, un ...

Amer Geophysical Union2017

Validation of the coupled mesoscale/microscale simulation for the Juvent wind farm

Fernando Porté Agel, Jiannong Fang, Nicole Corinne Lindsay, Gabriel Alesandro Mantegna

By coupling mesoscale and microscale models, the effects of complex terrain can be better captured. A more accurate forecast of weather and wind power is thus expected. ...

2016

Inventory routing with non-stationary stochastic demands

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

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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