TY - GEN
T1 - A MATLAB based occupant driven dynamic model for predicting residential power demand
AU - Johnson, Brandon J.
AU - Starke, Michael R.
AU - Abdelaziz, Omar A.
AU - Jackson, Roderick K.
AU - Tolbert, Leon M.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/7/23
Y1 - 2014/7/23
N2 - This paper presents a MATLAB based dynamic model for predicting residential power demand. Markov chain based occupant behavior models developed using data gathered by the U.S. Census Bureau in the American Time Use Survey (ATUS) are used in conjunction with models of the most common residential loads to predict residential power demand on a onesecond time scale. First, the methods utilized for the modeling of each residential load are presented. Next, an explanation of how these load models are combined with occupant behavior models to predict residential power demand is given. Simulation results showing the overall contribution of each load to the overall residential sector power demand are shown for both winter and summer cases. Finally, future work will involve the use of this high-resolution dynamic residential model to estimate the potential for demand response from residential loads.
AB - This paper presents a MATLAB based dynamic model for predicting residential power demand. Markov chain based occupant behavior models developed using data gathered by the U.S. Census Bureau in the American Time Use Survey (ATUS) are used in conjunction with models of the most common residential loads to predict residential power demand on a onesecond time scale. First, the methods utilized for the modeling of each residential load are presented. Next, an explanation of how these load models are combined with occupant behavior models to predict residential power demand is given. Simulation results showing the overall contribution of each load to the overall residential sector power demand are shown for both winter and summer cases. Finally, future work will involve the use of this high-resolution dynamic residential model to estimate the potential for demand response from residential loads.
KW - Dynamic load modeling
KW - Markov chain
KW - Occupant behavior modeling
KW - Residential power demand
UR - http://www.scopus.com/inward/record.url?scp=84908431816&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84908431816
T3 - Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
BT - Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2014
Y2 - 14 April 2014 through 17 April 2014
ER -