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建筑能源需求侧管理(DSM)是应对能源危机的重要手段之一.DSM综合评价系统对于发展、改进和推广能源需求侧管理意义重大。然而DSM综合评价是一个复杂的多指标综合评价问题,传统的综合评价方法应用在DSM综合评价中往往存在效率低、成本高、主观随意性大等问题。因此.本文探究了BP人工神经网络评价法在DSM综合评价中的应用,结合DSM综合评价的特点,分析其应用的可行性、优越性及现有缺陷,并辅以实例加以论证,为DSM综合评价系统中评价方法的选择提供一种解决方案。
Building Energy Demand Side Management (DSM) is one of the important means to deal with the energy crisis.DSM Comprehensive Evaluation System is of great significance to the development, improvement and promotion of energy DSM. However, DSM comprehensive evaluation is a complex multi-index comprehensive evaluation problem, and the traditional comprehensive evaluation methods are often used in the DSM comprehensive evaluation of low efficiency, high cost, subjective arbitrariness and other issues. Therefore, this paper explores the application of BP artificial neural network evaluation method in the comprehensive evaluation of DSM, combined with the characteristics of DSM comprehensive evaluation, analyzes the feasibility, superiority and existing defects of its application, supplemented by examples to prove that DSM synthesis The selection of evaluation methods in the evaluation system provides a solution.