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Can Gas Consumption Data Improve the Performance of Electricity Theft Detection?

Publications associées (33)

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Machine learning the density functional theory potential energy surface for the inorganic halide perovskite CsPbBr3

Anirudh Raju Natarajan

The temperature and pressure dependence of structural phase transitions determine the structure-functionality relationships in many technologically important materials. Harmonic Hamiltonians have proven successful in predicting the vibrational properties o ...

APS2019

Real-Time Cognitive Workload Monitoring Based on Machine Learning Using Physiological Signals in Rescue Missions

David Atienza Alonso, Adriana Arza Valdes, Fabio Isidoro Tiberio Dell'Agnola, Niloofar Momeni

High levels of cognitive workload decreases human's performance and leads to failures with catastrophic outcomes in risky missions. Today, reliable cognitive workload detection presents a common major challenge, since the workload is not directly observabl ...

IEEE2019

This project aims to investigate the possibility of exploiting the polarimetric radar measurements to improve the discrimination between hail stones of different size, by involving machine learning techniques. ...

2018

Many medical image analysis tasks require complex learning strategies to reach a quality of image-based decision support that is sufficient in clinical practice. The analysis of medical texture in tomographic images, for example of lung tissue, is no excep ...

2016

Studying the Dynamic Relationship between Energy Supply Carbon Content and Building Energy Demand

Marilyne Andersen, Didier Albert Simon Vuarnoz, Thomas Bernard Paul Jusselme, Stefano Cozza

Due to different temporal combinations of energy generation processes, the global warming potential (GWP) of energy supply evolves constantly. Despite this, the greenhouse gas (GHG) emissions related to the energy consumption in buildings are commonly asse ...

2016

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The MEU GIS-enabled web-platform has been developed in close collaboration with four Swiss cities: it enables detailed monitoring and planning for both energy demand and supply at individual building and neighborhood level (http://meu.epfl.ch). This web-pl ...

2015

Associated gases at oil wells are often rich in heavy hydrocarbons (HHC, here denoting hydrocarbons heavier than methane). HHC may cause handling and combustion difficulties as their properties are different from standard natural gas, therefore HHC rich as ...

Villigen PSI, World Resources Forum, printed by Paul Scherrer Institute2015

While rule based control (RBC) is current practice in most building automation systems that issue discrete control signals, recent simulation studies suggest that advanced, optimization based control methods such as hybrid model predictive control (HMPC) c ...

Elsevier2014

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The recent development of smart meters has allowed the analysis of household electricity consumption in real time. Predicting electricity consumption at such very low scales should help to increase the efficiency of distribution networks and energy pricing ...

IEEE2013

In this thesis, we explore the use of machine learning techniques for information retrieval. More specifically, we focus on ad-hoc retrieval, which is concerned with searching large corpora to identify the documents relevant to user queries. This identific ...

EPFL2008