2004/09/18 by David P. Chassin, Chassin, David P., Joel Malard +2
Business, Management and Accounting · Energy · Physics and Astronomy · #Adaptation and Self-Organizing Systems (nlin.AO) #Chaotic Dynamics (nlin.CD) #Consumer Market Behavior and Pricing #Energy Efficiency and Management #Exactly Solvable and Integrable Systems (nlin.SI) #FOS: Physical sciences #nlin.AO #nlin.CD #nlin.SI
paper · pdf · doi:10.48550/arxiv.nlin/0409037
9 pages, 6 figures, prereview manuscript (unsolved problem in fig. 6)
arxiv created 2004/09/18 · openalex publication_date 2004/09/18 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
A recently developed state-of-the-art agent-based simulation of power distribution systems is capable of modeling the thermal and demand response behavior of many thousands of thermostatic end-use loads. It computes the total power consumed by electric power customers when responding to real-time prices. Investigation of the initialization transients has led to a more precise understanding of the relationship between the end-use state probability of thermostatic loads, end-use demand, and load diversity.