智能电网
能源消耗
计算机科学
节能
能源管理
自动化
负荷管理
调度(生产过程)
可靠性工程
需求响应
高效能源利用
软件
实时计算
能量(信号处理)
嵌入式系统
工程类
电
运营管理
电气工程
机械工程
统计
数学
程序设计语言
作者
Pascal A. Schirmer,Iosif Mporas
出处
期刊:IEEE Transactions on Smart Grid
[Institute of Electrical and Electronics Engineers]
日期:2022-07-08
卷期号:14 (1): 769-784
被引量:87
标识
DOI:10.1109/tsg.2022.3189598
摘要
The rapid development of technology in the electrical energy sector within the last 20 years has led to growing electric power needs through the increased number of electrical appliances and automation of tasks. In parallel the global climate protection goals, energy conservation and efficient energy management arise interest for reduction of the overall energy consumption. These requirements have led to the recent adoption of smart-meters and smart-grids, as well as to the rise of Load Monitoring (LM) using energy disaggregation, also referred to as Non-Intrusive Load Monitoring (NILM), which enables appliance-specific energy monitoring by only observing the aggregated energy consumption of a household. The real-time information on appliance level can be used to get deeper insights in the origin of energy consumption and to make optimization, strategic load scheduling and demand management feasible. The three main contributions are as follows: First, a generalized up-to-date review of NILM approaches including a high-level taxonomy of NILM methodologies is provided. Second, previously published results are grouped based on the experimental setup which allows direct comparison. Third, the article is accompanied by a software implementation of the described NILM approaches.
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