Description

Book Synopsis

This book exemplifies how smart buildings have a crucial role to play for the future of energy. The book investigates what already exists in regards to technologies, approaches and solutions both with a scientific and technological point of view. The authors cover solutions for mirroring and tracing human activities, optimal strategies to configure home settings, and generating explanations and persuasive dashboards to get occupants better committed in their home energy managements. Solutions are adapted from the fields of Internet of Things, physical modeling, optimization, machine learning and applied artificial intelligence. Practical applications are given throughout.



Table of Contents
Introduction.- Smart grids, districts and energy smart homes.- Urban modeling and analytics in a smart context.- What kind of technologies for Smart-Homes.- Services for energy smart home.- Modeling and calibration for energy management in smart-places.- Machine Learning: a fundamental tool for smart-places.- Estimate building system state.- Disaggregate loads to analyze human behavior predicting energy demand.- Determine the best actions.- Generate explanation.- Human machine interface (HMI).- Diagnose appliance and sensor faults but also misbehavior.- Tools for Energy Management system.- Conclusion.

Towards Energy Smart Homes: Algorithms,

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A Paperback / softback by Stephane Ploix, Manar Amayri, Nizar Bouguila

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    View other formats and editions of Towards Energy Smart Homes: Algorithms, by Stephane Ploix

    Publisher: Springer Nature Switzerland AG
    Publication Date: 13/11/2022
    ISBN13: 9783030764791, 978-3030764791
    ISBN10: 3030764796

    Description

    Book Synopsis

    This book exemplifies how smart buildings have a crucial role to play for the future of energy. The book investigates what already exists in regards to technologies, approaches and solutions both with a scientific and technological point of view. The authors cover solutions for mirroring and tracing human activities, optimal strategies to configure home settings, and generating explanations and persuasive dashboards to get occupants better committed in their home energy managements. Solutions are adapted from the fields of Internet of Things, physical modeling, optimization, machine learning and applied artificial intelligence. Practical applications are given throughout.



    Table of Contents
    Introduction.- Smart grids, districts and energy smart homes.- Urban modeling and analytics in a smart context.- What kind of technologies for Smart-Homes.- Services for energy smart home.- Modeling and calibration for energy management in smart-places.- Machine Learning: a fundamental tool for smart-places.- Estimate building system state.- Disaggregate loads to analyze human behavior predicting energy demand.- Determine the best actions.- Generate explanation.- Human machine interface (HMI).- Diagnose appliance and sensor faults but also misbehavior.- Tools for Energy Management system.- Conclusion.

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