电力信息与通信技术2026，Vol.24Issue(8)：15-26,12.DOI:10.16543/j.2095-641x.electric.power.ict.2026.08.02
基于多尺度特征自适应提取的多任务非侵入式负荷监测方法
A Multi-task Non-intrusive Load Monitoring Method Based on Multi-scale Feature Adaptive Extraction
摘要
Abstract
Non-intrusive load monitoring(NILM)can enable low-cost,fine-grained energy management by estimating appliance-level operational data solely from aggregate meter readings.However,existing multi-task models that monitor multiple appliances struggle to handle the diverse temporal characteristics of each appliance.Therefore,we propose an adaptive multi-scale,multi-task NILM approach.The proposed method not only leverages a shared expert network to learn commonalities and correlations across appliances,but also integrates a dual-attention mechanism with multi-scale fusion and an adaptive routing mechanism to address scale differences in operational characteristics.Experiments show that our method improves power estimation and state monitoring performance by 53.6％and 9.4％,respectively,while reducing model complexity.关键词
非侵入式负荷监测/多任务/多尺度特征提取/双重注意力机制/自适应路由机制Key words
non-intrusive load monitoring/multi-task/multi-scale feature extraction/dual-attention mechanism/adaptive routing mechanism分类
信息技术与安全科学引用本文复制引用
邝培伟,罗庆全,余涛,梁敏航,李钊涛,胡小磊..基于多尺度特征自适应提取的多任务非侵入式负荷监测方法[J].电力信息与通信技术,2026,24(8):15-26,12.基金项目
国家自然科学基金企业创新发展联合基金集成项目(U24B6010). （U24B6010）
