Concept

Demand forecasting

Related publications (109)

The influence of drifting and blowing snow on surface (turbulent) mass- and energy exchange assessed with different methods

Varun Sharma, Michael Lehning, Wolf Hendrik Huwald, Jérôme François Sylvain Dujardin, Franziska Gerber, Daniela Brito Melo, Armin Sigmund, Benjamin Andreas Walter

Drifting and blowing snow is a dominant process shaping snow-covered surfaces in particular in extreme environments such as high mountains or polar regions. Because the process is complicated to describe, as it covers scales from below 1 mm to several kilo ...

2021

The inFuence of drifting and blowing snow on surface (turbulent) mass- and energy exchange assessed with different methods

Michael Lehning, Wolf Hendrik Huwald, Jérôme François Sylvain Dujardin, Franziska Gerber, Daniela Brito Melo, Armin Sigmund, Benjamin Andreas Walter

2021

Vehicle sharing systems: Does demand forecasting yield a better service?

Michel Bierlaire, Nikola Obrenovic, Selin Ataç

Although the idea of vehicle sharing systems (VSSs) emerges back in 1940s, sustaining such a system became simpler with the improvements in technology in the past decade. In addition to that, people have become more concerned about environmental effects an ...

2020

Bike Sharing Systems: Does demand forecasting yield a better service?

Michel Bierlaire, Nikola Obrenovic, Selin Ataç

Although the idea of vehicle sharing systems (VSSs) emerged back in 1940s, sustaining such a system became simpler with the improvements in technology in the past decade. In addition to that, people have become more concerned about environmental effects an ...

2020

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

Generating daily activity schedules using machine learning Master Thesis Sergej Gasparovich June 19, 2020 Prof. M. Bierlaire, J. Pougala, T. Hillel Transport and Mobility Laboratory, EPFL Y. Liu Visual Intelligence

Sergej Gasparovich

The study of how people schedule their daily activities is of interest in the context of transport demand forecasting using activity based-models, where activity schedules are generated in order to estimate the trip demand they produce. Machine learning ha ...

2020

Tools for multi time horizon PV point forecasting and prediction intervals

Mario Paolone, Fabrizio Sossan, Enrica Scolari

The massive integration of stochastic renewable generation in modern power systems requires decentralized control schemes that cope with the uncertainties of the distributed energy resources (DERs). Among the DERs, small-scale photovoltaic (PV) systems are ...

SCCER-FURIES2020

REMA topography and AntarcticaLC2000 for WRF

Michael Lehning, Franziska Gerber

Reference Elevation Model of Antarctica (REMA) topography and AntarcticaLC2000 landuse dataare now available as static data input for the Weather Research and Forecasting model (WRF). Topographyand landuse are made available at a spatial resolution of 1 km ...

2020

Demand forecasting for a novel transportation mode

Denis Aloyse Joseph Steffen

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

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