NDLI: Activity based energy demand modeling for residential buildings

Content Provider	IEEE Xplore Digital Library
Author	Subbiah, R. Lum, K. Marathe, A. Marathe, M.
Copyright Year	2013
Description	Author affiliation: Network Dynamics & Simulation Sci. Lab., Viginia Tech, Blacksburg, VA, USA (Subbiah, R.; Lum, K.; Marathe, A.; Marathe, M.)
Abstract	Statistics reveal that almost one-fourth of the overall power consumption in the US is by residential buildings; this number is only increasing. In order to manage the growing demand for energy, there is a need for energy system optimization, which would require a realistic, high resolution energy-demand model. To achieve this goal, we propose a modeling framework aimed at generating household energy demand profiles based on individual-level energy consuming activities. The model associates appliance usage for each household activity and calculates energy consumption based on the appliance energy rating and duration of activity. We use this information to generate a household level energy demand profile for roughly 63,000 households and discuss the possible uses of generating residential energy demand patterns. This paper provides a novel way to resolve correlational and consistency problems in the generation of individual-level and household-level “shared” activities which occur due to household members' interactions.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	1
Ending Page	6
File Size	352057
Page Count	6
File Format	PDF
ISBN	9781467348942
e-ISBN	9781467348966
e-ISBN	9781467348959
DOI	10.1109/ISGT.2013.6497822
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-02-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Home appliances Energy consumption Logistic regression Biological system modeling Water heating Probability Correlation Demand side management Data models Smart grid Space heating Poisson regression
Content Type	Text
Resource Type	Article

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