Concept

Prévision de la demande

Publications associées (109)

Instrumented Shoes for Real-Time Activity Monitoring Applications

Kamiar Aminian, Anisoara Ionescu, Christopher Moufawad El Achkar

Activity monitoring in daily life is gaining momentum as a health assessment tool, especially in older adults and at-risk populations. Several research-based and commercial systems have been proposed with varying performances in classification accuracy. Co ...

IOS Press2016

A Non-Parametric Approach to Demand Forecasting in Revenue Management

Shadi Sharif Azadeh

In revenue management, the profitability of the inventory and pricing decisions rests on the accuracy of demand forecasts. However, whenever a product is no longer available, true demand may differ from registered bookings, thus inducing a negative bias in ...

2015

Rainfall Forecasting in Burkina Faso Using Bayesian-Wavelet Neural Networks

Jonathan Giezendanner

This work aims to forecast rain locally in Tambarga, Burkina Faso, to be able to fight against a worm inducing the disease called schistosomiasis. The chosen approach relies on a machine-leaning technique called Artificial Neural Networks, which simulates ...

2015

Cluster-based Aggregate Forecasting for Residential Electricity Demand using Smart Meter Data

Karl Aberer, Tri Kurniawan Wijaya, Matteo Vasirani, Samuel François Roger Joseph Humeau

While electricity demand forecasting literature has focused on large, industrial, and national demand, this paper focuses on short-term (1 and 24 hour ahead) electricity demand forecasting for residential customers at the individual and aggregate level. Si ...

2015

Importance sampling for activity path choice

Michel Bierlaire, Antonin Danalet

We propose a model for the choice of an activity pattern. Models of activity participation patterns allow to assess the impact of demand management strategies on activity and destination choices. In particular, we focus on choice set generation of activity ...

2015

Importance sampling for activity path choice

Michel Bierlaire, Antonin Danalet

2015

Opportunities for energy efficient computing: a study of inexact general purpose processors for high-performance and big-data applications

Christian Enz, Jérémy Lucien Maurice Schlachter

In this paper, we demonstrate that disproportionate gains are possible through a simple devise for injecting inexactness or approximation into the hardware architecture of a computing system with a general purpose template including a complete memory hiera ...

2015

Pervasive Data Analytics for Sustainable Energy Systems

Tri Kurniawan Wijaya

With an ever growing population, global energy demand is predicted to keep increasing. Furthermore, the integration of renewable energy sources into the electricity grid (to reduce carbon emission and humanity's dependency on fossil fuels), complicates eff ...

EPFL2015

The activity path approach to activity pattern modeling

Michel Bierlaire, Antonin Danalet

In this presentation, we propose a model for the simultaneous choice of activity types, order, start times and durations of activity episodes in a sequence. In particular, we develop a framework for choice set generation based on path choice to deal with t ...

2015

Particle Swarm Optimization and Kalman Filtering for Demand Prediction of Commercial Buildings

François Maréchal, Samira Fazlollahi, Araz Ashouri

The integration of weather forecasts and demand prediction into the energy management system of buildings is usually achieved using a model-based predictive control. The performance of such control techniques strongly depends on the accuracy of the thermal ...

2015

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