A hybrid social model for simulating the effects of policies on residential power consumption
Pages 919 - 929
Abstract
In this paper, a hybrid social model of econometric model and social influence model is proposed to settle the problem in power resources management. And, a hybrid society simulation platform based on the proposed model, termed Residential Electric Power Consumption Multi-Agent Systems (RECMAS), is designed to simulate residential power consumption by multi-agent. RECMAS is composed of consumer agent, power supplier agent, and policy maker agent. It provides the policy makers with an additional tool to evaluate power price policies and public education campaigns in different scenarios. Through an influenced diffusion mechanism, RECMAS can simulate the factors affecting power consumption, and the ones associated with public education campaigns. The application of the method for simulating residential power consumption in China is presented.
References
[1]
Vringer, K., Aalbers, T., Blok, K.: Household Energy Requirement and Value Patterns. Energy Policy 35, 553-566 (2007).
[2]
Dintchev, O.D., Calmeyer, J.E., Delport, G.J.: Efficient and Sustainable Usage of Electricity in South Africa: the Role of the Tertiary Education Institutions. Engineering Science and Education Journal 9, 53-59 (2000).
[3]
Song, W., Gu, A.L., Wu, Z.X.: Urban Residential Electricity Consumption Forecast Model. Electric Power 39, 66-70 (2006).
[4]
Athanasiadis, I.N., Mentes, A.K., Mitkas, P.A., Mylopoulos, Y.A.: A Hybrid Agent-Based Model for Residential Water Demand. Simulation 81, 175-187 (2005).
[5]
Weiss, G.: Multi-Agent Systems: A Modern Approach to Distributed Artificial Intelligence. MIT Press, Cambridge (1999).
[6]
Lopez, A., Hernndez, C., Pajares, J.: Towards a New Experimental Socio-Economics: Complex Behavior in Bargaining. Journal of Socio-Economics 31, 423- 429 (2002).
[7]
Yuan, J.H., Ding, W., Hu, Z.G.: Acritical Study of Agent-Based Computational Economics and its Application in Research of Electricity Market Theory. Power System Technology 29, 47-51 (2005).
[8]
Moholkar, A., Klinkhachorn, P., Feliachi, A.: Effects of Dynamic Pricing on Residential Electricity Bill. Power Systems Conference and Exposition, IEEE PES 2, 1030-1035 (2004).
[9]
Zarnikau, J.: Functional Forms in Energy DemandModeling. Energy Economics 25, 603-613 (2003).
[10]
Wooldridge, M., Jenning, N.R., Kinny, D.: The Gaia Methodology for Agent-Oriented Analysis and Design. Autonomous Agents and Multi-Agent Systems 3, 285-312 (2000).
[11]
Hessing-Couvret, E., Reuling, A.: The WIN-Model, Value Systems in the Netherlands. TNS-NIPO, Amsterdam (2002).
[12]
Shi, Z.Z., Zhang, H.J., Dong, M.K.: MAGE: Multi-Agent Environment. In: ICCNMC 2003 (2003).
Index Terms
- A hybrid social model for simulating the effects of policies on residential power consumption
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Information & Contributors
Information
Published In
December 2007
1174 pages
ISBN:3540772251
- Editors:
- Hujun Yin,
- Peter Tino,
- Will Byrne,
- Xin Yao,
- Emilio Corchado
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 16 December 2007
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