数据挖掘技术及其在建筑节能中的应用

人类社会发展中的每次技术进步都会催生一系列新的产品和服务，但同时也导致资源和能源消耗的剧增.技术的进步虽然提高了资源和能源的利用效率，但这种人均能耗不断递增的发展模式不可持续.建筑节能除了关注供应侧的能效外，合理的引导需求侧用能是实现建筑节能的关键.要实现建筑节能模式由供应侧到需求侧的转变，就必须恰当描述特定室内环境下的用能特征，才能从需求侧评估建筑能耗的合理性，进而精确辨识能源浪费的原因.建筑物自动化系统和物联网技术的快速发展与普及，获取了大量特定室内环境下的用能特征数据，利用数据挖掘技术可以从这些低密度价值的建筑运维数据中萃取节能线索和策略.本文简述了数据挖掘技术，综述了各种挖掘方法在建筑节能中的应用，并展望了发展趋势.

Data Mining Technology and Its Application in Building Energy Efficiency

Every technological advance in the development of human society will lead to a series of new products and services, but at the same time, it will lead to a sharp increase in the consumption of resources and energy. Although the progress of technology has improved the efficiency of resource and energy use, the development mode of increasing per capita energy consumption is not sustainable. In addition to the supply side of energy efficiency, a reasonable guide to demand side can be the key used to achieve building energy efficiency. To achieve the change of building energy-saving mode from the supply side to the demand side, we must properly describe the energy by using characteristics in a specific indoor environment, and assess the reasonableness of building energy consumption from the demand side, then identify accurately the reason of energy waste. Along with the rapid development of building automation system and IOT technology, a large amount of building energy consumption data with specific indoor environment features are acquired, then we can use data mining technology to extract energy saving clues and strategies from these low density value building daily operation data. This paper briefly introduces the data mining technology, and summarizes the application of various mining methods in building energy saving, and prospects of its development trend.