Residential Electrical Load Monitoring and Modeling - State of the Art and Future Trends for Smart Homes and Grids

被引：17

作者：

Yuan, Xinmei ^{[1
]}

Han, Peng ^{[2
]}

Duan, Yao ^{[4
]}

Alden, Rosemary E. ^{[3
]}

Rallabandi, Vandana ^{[5
]}

Ionel, Dan M. ^{[3
]}

机构：

[1] Jilin Univ, Coll Automot Engn, Changchun, Peoples R China

[2] Univ Kentucky, Dept Elect & Comp Engn, SPARK Lab, Lexington, KY 40506 USA

[3] Univ Kentucky, Dept Elect & Comp Engn, Lexington, KY 40506 USA

[4] Toshiba Int Corp, Houston, TX USA

[5] GE Global Res, Niskayuna, NY USA

来源：

ELECTRIC POWER COMPONENTS AND SYSTEMS | 2020年 / 48卷 / 11期

基金：

美国国家科学基金会;

关键词：

smart home; smart grid; smart community; smart appliance; appliance scheduling; artificial intelligence (AI); residential energy data; heating; ventilation and air conditioning (HVAC); home energy management system (HEMS); smart plug; load modeling; non-intrusive load monitoring (NILM); building energy; load forecast; demand response; big data; machine learning; deep learning; artificial neural networks (ANN); long short-term memory (LSTM); edge computing; cybersecurity; internet of things (IoT); distributed renewable energy source; photo-voltaic (PV); net-zero-energy home; time of use; prosumer; transactive energy; ENERGY MANAGEMENT-SYSTEMS; BUILDING ENERGY; ANOMALY DETECTION; DEMAND; DISAGGREGATION; SENSOR; CONSUMPTION; IDENTIFICATION; RECOGNITION; SIMULATION;

D O I：

10.1080/15325008.2020.1834019

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Building energy consumption accounts for a large fraction of the total global energy usage, and considerable energy savings are expected to be achieved in this respect through residential electrical load monitoring. Due to the limitations on the practical implementation of in-depth and expensive monitoring systems, non-intrusive load monitoring (NILM) is becoming a hot topic. In this paper, an overview of the state of the art residential electrical load monitoring is presented. Different from previous reviews, the applications of load monitoring are particularly addressed, based on which, technical challenges of load monitoring techniques, including NILM, are identified and thoroughly discussed, together with possible developments and trends predicted from the authors' perspective.

引用

页码：1125 / 1143

页数：19

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