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Towards Energy Smart Homes: Algorithms, Technologies, and Applications [Hardcover]

$97.99     $139.99   30% Off      (Free Shipping)
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  • Category: Books (Technology & Engineering)
  • ISBN-10:  3030764761
  • ISBN-10:  3030764761
  • ISBN-13:  9783030764760
  • ISBN-13:  9783030764760
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Apr-2021
  • Pub Date:  01-Apr-2021
  • SKU:  3030764761-11-SPRI
  • SKU:  3030764761-11-SPRI
  • Pages:  620
  • Pages:  620
  • Item ID: 105066291
  • List Price: $139.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Oct 14 to Oct 16
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.

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.

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.

St?phane Ploix is a Professor at the Grenoble Institute of Technology in the Energy, Water and Environment department. After a Master of Technology in mechanics and electricity from a French grande ?cole[MOU1] and a Master of Sciences in Control, he obtained in 1998 a Ph.D. from the Institute National Polytechnique de Lorraine in control engineering and signal processing. He became a full Professor in 2009. From the very beginning his researches set at the interface of engineering, control and computer sciences. He started by extending algorithms for diagnostic analysis coming from artificial intelligence community to different engineel35

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