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Investigating DSM cost and benefit options

机译:研究DSM的成本和收益选项

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For the decentralized assessment of demand side management (DSM) options, a practical set of instruments called GOLDSMITH (an acronym for Groningen system for the evaluation of options for load and demand-side management by interactive testing of modifications of hourly load shapes) was developed that can be used to confront tentative ideas and plans with empirical data. These instruments contain some original ideas concerning DSM modeling. Application of such instruments can help users develop their ideas, offer a test bed for DSM options, and strengthen the relation between theory, ideas, and the empirical facts concerning energy management issues. Initially, the project's main result was seen as a decision-support system that uses a knowledge base about DSM options. Rules would be applied to this knowledge base, or structure would transform the options database into a larger system. Consultation of the expert system would lead to pertinent conclusions about the viability of DSM options. However, this initial goal evolved during the course of the research to an approach that reinstated the operator of the software as the final decision-maker and expert. This article describes directions taken during the research venture, the investigative software tools spawned by the research, and some practical applications.
机译:为了对需求方管理(DSM)选项进行分散评估,开发了一套实用的工具,称为GOLDSMITH(格罗宁根系统的缩写,通过交互式测试小时负荷形状的修改来评估负荷和需求方管理的选项)可以用来与经验性数据相抵触的想法和计划。这些工具包含有关DSM建模的一些原始想法。此类工具的应用可以帮助用户发展其想法,为DSM选项提供测试平台,并加强理论,想法以及与能源管理问题有关的经验事实之间的关系。最初,该项目的主要结果被视为使用有关DSM选项的知识库的决策支持系统。规则将应用于该知识库,或者结构会将选项数据库转换为更大的系统。咨询专家系统将得出有关DSM方案可行性的结论。但是,这个最初的目标在研究过程中演变为一种方法,使软件的操作员重新成为最终的决策者和专家。本文介绍了研究冒险过程中所采取的方向,研究产生的调查软件工具以及一些实际应用。

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