Advanced devices and algorithms for energy disaggregation in buildings

用于建筑物能量分解的先进设备和算法

• 批准号: RGPIN-2017-06469
• 负责人: Gagnon, Ghyslain
• 金额: $ 1.75万
• 依托单位: École de technologie supérieure
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637461
• 关键词: Advanced; devices; algorithms; energy; disaggregation

Energy disaggregation (also referred as nonintrusive load monitoring) is a combination of signal processing and pattern recognition techniques to estimate the energy consumption of individual appliances from the total energy consumption signal. It is achieved by identifying discriminating features in the aggregated signal and decomposing it into its constituent parts. Disaggregation of the energy consumption data down to the level of appliances has been largely identified as an opportunity for enhanced energy efficiency through citizen awareness, energy demand prediction tools for utilities and smart automatic control of appliances, just to name a few.

能量分解（也称为非感官负载监测）是信号处理和模式识别技术的组合，以估算从总能量消耗信号中估算单个设备的能量消耗。它是通过识别汇总信号中的区分特征并将其分解为组成部分来实现的。将能源消耗数据降至电器水平的分解很大程度上被确定为通过公民意识提高能源效率的机会，为公用事业提供了能源需求预测工具以及对电器的智能自动控制，仅举几例。