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Published in: Energy Systems 2/2016

01-05-2016 | Original Paper

A modular framework to enable rapid evaluation and exploration of energy management methods in smart home platforms

Authors: Xiao Qin, Lin Lin, Susan Lysecky, Janet Roveda, Young-Jun Son, Jonathan Sprinkle

Published in: Energy Systems | Issue 2/2016

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Abstract

Numerous efforts focus on developing smart grid and smart home platforms to provide monitoring, management, and optimization solutions. In order to more effectively manage energy resources, a holistic view is needed; however the involved platforms are complex and require integration of a multitude of parameters such as the end-user behavior, underlying hardware components, environment, etc., many of which operate on varying time scale at various levels of detail. A general and modular framework is presented to enable designers to focus on modeling, simulating, analyzing, or optimizing specific sub-components without requiring a detailed implementation across all levels. We incorporate two case studies in which the proposed framework is utilized to help an end user evaluate platform configurations given an energy usage model, as well as integrate an energy optimization module to investigate rescheduling of appliance usage times in an effort to lower cost.

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Metadata
Title
A modular framework to enable rapid evaluation and exploration of energy management methods in smart home platforms
Authors
Xiao Qin
Lin Lin
Susan Lysecky
Janet Roveda
Young-Jun Son
Jonathan Sprinkle
Publication date
01-05-2016
Publisher
Springer Berlin Heidelberg
Published in
Energy Systems / Issue 2/2016
Print ISSN: 1868-3967
Electronic ISSN: 1868-3975
DOI
https://doi.org/10.1007/s12667-014-0121-9

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