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A review on behavioural propensity for building load and energy profile development - Model inadequacy and improved approach

机译:建筑负荷与能源概况发展的行为倾向综述 - 模型不足及改进的方法

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摘要

To achieve building energy conservation goals, models for forecasting energy consumption with energy-related occupant behavior inclusive must be encompassed in energy performance efforts. Regardless of the efforts made in the residential building sector and building energy performance, the scientific community still lacks a reliable and simple instrument that can instantaneously address and solve the energy and environmental balance of buildings. This study attempts to give a chronological review of both AI-based and conventional models employed in energy consumption prediction, based on the model type, forecasting accuracy, and applied areas. And also to identify drivers of consumption and their implications in building energy performance as they have remained a challenging task, volatile and confusing. The applications, strengths, and disadvantages of such approaches are contrasted and linked, while suitable recommendations are made on future directions of the research. This review offers valuable suggestions for researchers in choosing an appropriate model for forecasting energy consumption.
机译:为实现建设节能目标,必须包括与能源相关乘员行为的能源消耗的模型必须包括在能源绩效努力中。无论住宅建筑物和建筑能源绩效所做的努力如何,科学界仍然缺乏可靠而简单的仪器,可以瞬间地解决和解决建筑物的能源和环境平衡。本研究试图根据模型类型,预测精度和应用区域,给出对能量消耗预测中使用的基于AI的和传统模型的按时间顺序审查。而且还确定消费的驱动因素及其在建立能源绩效方面的影响,因为它们仍然是一个具有挑战性的任务,挥发性和令人困惑。这种方法的应用,优势和缺点是对比和联系,而合适的建议是对研究的未来方向。本次审查提供了为研究适当的预测能耗模型的研究人员提供了宝贵的建议。

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