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基于多智能体的电力软科学智能实验室研究 被引量:4

Research of Electric Soft Science Intelligent Laboratory Based on Multi-Agent
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摘要 针对电力软科学研究的复杂性、不确定性,总结了电力软科学研究包括的类别,采用最新的信息集成标准、CORBA规范,基于多智能体技术,应用复杂适应系统理论与智能工程理论,提出了电力软科学智能实验室建设框架和开发思路,并详细讨论了其实现方式。该体系结构采用开放式信息集成技术,方便已有软件的集成和功能扩展,可以为其它行业的软科学实验平台的研究和实现提供参考。 There are lots of uncertainty and complex issues in electric soft science research, which are very difficult to be modeled by mathematic way. According to the complexity and uncertainty of the study of electric soft science research (ESSR), ESSR was classified. The structure of electric soft science intelligent laboratory was proposed based on CORBA criterion, Multi-Agent technology, complex adaptive system and intelligent engineering. Then, the function module was designed. This structure is an open information integration system and is advantageous for expansion of function.
出处 《系统仿真学报》 EI CAS CSCD 北大核心 2007年第21期5020-5024,共5页 Journal of System Simulation
关键词 电力软科学 多智能体 智能工程 智能实验室 复杂适应系统 electric soft science multi-agent system intelligent engineering intelligent laboratory complex adaptive system
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  • 1胡兆光.电力建设必须同经济发展相协调[J].宏观经济研究,2004(7):12-13. 被引量:6
  • 2胡兆光.电力经济智能模拟实验室研究[J].中国电力,2005,38(1):7-11. 被引量:3
  • 3袁家海,丁伟,胡兆光.基于Agent的计算经济学及其在电力市场理论中的应用综述[J].电网技术,2005,29(7):47-51. 被引量:17
  • 4GEORGE F L. Artificial Intelligence [M]. New York: Prentice-Hall Inc., 1992.
  • 5STEPHER I G. Neural Network Learning and Expert Systems [M].New York: MIT Press, 1993.
  • 6PHLILP D W. Neural Computing Theory and Practice [M]. New York: ANZA Research Inc. ,1989.
  • 7PHILIP D W.Advanced Methods in Neural Computing [M]. New York: Van Nostrand Reinhold, 1993.
  • 8BART K. Neural Networks and Fuzzy Systems [M]. New York: Prentice-Hall Inc., 1992.
  • 9GEORGE J K. Fuzzy Sets, Uncertainty and Information [M]. New York: Prentice Hall Inc., 1991.
  • 10Azzam-ul-Asar, MCDONAL J R. A modularized ANN approach to short- term load forecasting [A]. American Power conf., Ill. Ins. Tech.[C]. Chicago, USA, 1994.

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