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Dynamic modeling of presence of occupants using inhomogeneous Markov chains

Authors
Publisher
Elsevier S.A.
Publication Date
Keywords
  • Occupancy Modeling Is A Necessary Step Towards Reliable Simulation Of Energy Consumption In Building
  • This Paper Outlines A Method For Fitting Recordings Of Presence Of Occupants And Simulation Of Singl
  • The Method Includes Modeling Of Dependence On Time Of Day
  • And By Use Of A Filter Of The Observations It Is Able To Capture Per-Employee Sequence Dynamics
  • Simulations Using This Method Are Compared With Simulations Using Homogeneous Markov Chains And Show
  • The Method Is Based On Inhomogeneous Markov Chains With Where The Transition Probabilities Are Estim
  • B-Splines
  • And A Filter Of Passed Observations As Inputs
  • For Treating The Dispersion Of The Data Series
  • A Hierarchical Model Structure Is Used Where One Model Is For Low Presence Rate
  • And Another Is For High Presence Rate

Abstract

Dynamic modeling of presence of occupants using inhomogeneous Markov chains - DTU Orbit (16/05/14) Dynamic modeling of presence of occupants using inhomogeneous Markov chains - DTU Orbit (16/05/14) Dynamic modeling of presence of occupants using inhomogeneous Markov chains Andersen, P. H. D., Iversen, A., Madsen, H. & Rode, C. 2014 In : Energy and Buildings. 69, p. 213-223 Publication: Research - peer-review › Journal article – Annual report year: 2014

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