DC 4: Use of machine learning tools for estimating EGs performance.

Host Institution

University Grenoble Alpes (France)

Main Supervisor

Aim

The aim of this project is to investigate the possibility to use machine learning
techniques to predict the behaviour of EGs in terms of heat exchange and help in the optimisation of their functioning.

Specific Objectives

Collect monitoring and numerical data on different EG types and different functioning scenarios (heating-cooling modes, different external and climatic conditions).
Define input and output parameters adapted for the evaluation of the heat exchange of EGs, and design a model based on artificial neural networks. Train models and check their performance on available data.
Use the models to predict the performance of EGs under different future scenarios (change in climatic conditions, temperature, activation modes, etc).

Secondment

Politecnico di Torino (Italy)

University of Lille (France)

Download more information here

Download

To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.

Functional Always active

The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.

Preferences

The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.

Statistics

The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.

Marketing

The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.