Agent Based Model to Analyze Consumer Behavior in Consuming the Electricity Energy
DOI:
https://doi.org/10.11113/jt.v72.3911Keywords:
Agent based model, electricity consumption, consumer behavior, save energyAbstract
Several studies have been conducted regarding save energy in consuming the electricity through the simple changes in routines and habits. In the case of electricity consumption, consumer behavior might influenced by several factors such as consumer profession, season, and environmental awareness. In this paper, we developed an Agent Based Model (ABM) to analyze the behavior of different agents in consuming the electricity energy for each type of profession (agent) as well as their interaction with the environment. This paper demonstrates a prototype agent based simulation model to estimate the electricity consumption based on the existing condition and some scenarios to reduce the electricity consumption from consumer point of view. From the scenario results, we analyzed the impact of the save energy to increase the electrification ratio.Â
References
Macal, C. M., M. J. North. 2010. Tutorial on Agent-based Modeling and Simulation. Journal of Simulation. 4: 151–162.
Bonabeau, E. 2002. Agent-based Modeling: Methods and Techniques for Simulating Human Systems. Proceedings of the National Academy of Sciences of the United States. 99: 7280–7287.
Gilbert, N. 2008. Agent-Based Models. California: Sage Publications, Inc.
Zhang, T., P. O. Siebers, and U. Aickelin. 2011. Modeling Electricity Consumption in Office Building: An Agent Based Approach. Journal of Energy and Building. 43(10): 2882–2892.
Sterman, J. 2001. System Dynamics Modeling: Tools for Learning In A Complex World. California Management Review. 43(4): 8–25.
Rand, W., R. T. Rust. 2011. Agent-Based Modeling In Marketing: Guidelines for rigor, International Journal of Research In Marketing. 28(3): 181–193.
Borshchev, A., A. Filippov. 2004. From System Dynamics and Discrete Event to Practical Agent Based Modeling: Reasons, Techniques, Tools. Proceeding of the 22nd International Conference of the System Dynamics Society.135–150.
Abrahamson D., P. Blikstein and U. Wilensky. 2007. Classroom Model, Model Classroom: Computer-Supported Methodology for Investigating Collaborative-Learning Pedagogy. Proceeding of the Computer Supported Collaborative Learning (CSCL) Conference. 8(1): 46–55.
Chan, W. K. V., Y. J. Son, and C. M. Macal, 2010. Agent-Based Simulation Tutorial-Simulation of Emergent Behavior and Differences between Agent-Based Simulation and Discrete-Event Simulation. Proceeding of the 2010 Winter Simulation Conference.
Yin, Q., Y. Li, K. Zhi. 2010. Multi-Agent Based Simulation of Negotiate Pricing Process in B2C. Intelligent Systems (GCIS), Second WRI Global Congress on (Volume:1).
Long, Y. 2011. Analysis and Design of the Business Simulation Based on the Multi-Agent. Fourth International Joint Conference on Computational Science and Optimization.
Wong, J., K. Cao. 2012. Modelling Business Energy Consumption using Agent-based Simulation Modelling. Australia: Australian Bureau of Statistics.
Zhao, F., J. Wang, V. Koritarov, and G, Augenbroe. 2010. Agent Based Modeling in Interaction Between Commercial Building Stocks and Power Grid. IEEE Conference on Innovative Technologies for an Efficient and Reliable Electricity Supply (CITRES). 225–232
North, M., G. Conzelmann, V. Koritarov, C. Macal,P. Thimmapuram, and T Veselka. 2002. E-Laboratories: Agent-Based Modeling of Electricity Markets. American Power Conference.
Zhou, Z., V. Chan, J. H. Chow. 2009. Agent Based Simulation of Electricity Markets: A Survey of Tools. New York: Springer Science and Business Media.
Macal, C. M. 2005. Model Verification and Validation. Chicago. Workshop on Threat Anticipation: Social Science Methods and Models
Kleijnen, J. P.C. Verification and Validation of Simulation Models. European Journal of Operational Research. 82: 145–162.
Los Alamos National Laboratory. 2004. Concepts of Model Verification and Validation, LA-14167-MS.
American Institute of Aeronautics and Astronautics. 1998. Guide for the Verification and Validation of Computational Fluid Dynamics Simulation. AIAA-G-077-1998.
Barlas, Y., 1996. Formal aspects of model validity and validation in system dynamics. System Dynamics Review, 12(3). 183-210
National Environmental Education Foundation. 2010. Climate, Weather, and Energy Consumption.
Downloads
Published
Issue
Section
License
Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.