Multivariate stochastic modeling of washing machine loads profile in Iran
DOI: 10.1016/J.SCS.2016.06.004
关键词: Monte Carlo method 、 Engineering 、 Multivariate statistics 、 Simulation 、 Probability density function 、 Duration (project management) 、 Variable (computer science) 、 Multivariable calculus 、 Residential area 、 Statistics 、 Electrical load
摘要: Abstract The present paper, investigates the stochastic modeling of domestic electrical load profile in a residential area. Domestic Load Modeling (DLM) methodologies are more complicated compared to industrial, commercial and agricultural modeling. loads contain wide diversity that exist every household consuming remarkable portion overall consumption. Diversity has created different consumption patterns with variable usage timing duration caused by miscellaneous factors. intuitive uncertainty DLM is main motivation apply Loads Stochastic (DLSM) paper. This study uses multivariable probability distribution function. Additionally, simultaneous correlation between weekdays hours day been performed. Monte Carlo technique applied order generate samples for profile. As result, behavior all residents region was estimated based on limited number questionnaires using DLSM. performed Ekbatan complex Tehran, Iran.
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