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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      Book details

      Publisher Springer Nature Switzerland AG
      Published 13 November 2022
      ISBN-13 9783030764791
      978-3030764791
      ISBN-10 3030764796
      Also in:
      Dictionaries, Reference & Language Cybernetics and systems theory Technology, Engineering & Agriculture Communications engineering / telecommunications Electronics engineering

      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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