Design of a Meaningful Framework for Time Series Forecasting in Smart Buildings

Design of a Meaningful Framework for Time Series Forecasting in Smart Buildings

This paper aims to provide discernment toward establishing a general framework, dedicated to data analysis and forecasting in smart buildings. It constitutes an industrial return of experience from an industrialist specializing in IoT supported by the academic world. With the necessary improvement o...

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Bibliographic Details
Main Authors: Louis Closson, Christophe Cérin, Didier Donsez, Jean-Luc Baudouin
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Information
Subjects:
smart building datasets analyses
enabling technologies for the IoT
Building Information Modeling (BIM)
knowledge generalization
data evaluation
Online Access:https://www.mdpi.com/2078-2489/15/2/94

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