scholarly journals Web interactive non intrusive load disaggregation system for active demand in smart grids

2014 ◽  
Vol 1 (3) ◽  
pp. e4 ◽  
Author(s):  
G.M. Tina ◽  
V. A. Amenta ◽  
O. Tomarchio ◽  
G. Di Modica
Keyword(s):  
Smart Grids ◽  
Load Disaggregation ◽  
Disaggregation System

scholarly journals Non-Intrusive Load Disaggregation Based on a Multi-Scale Attention Residual Network

2020 ◽  
Vol 10 (24) ◽  
pp. 9132
Author(s):  
Liguo Weng ◽  
Xiaodong Zhang ◽  
Junhao Qian ◽  
Min Xia ◽  
Yiqing Xu ◽  
...  
Keyword(s):  
Smart Grids ◽  
Recognition Rate ◽  
Low Frequency ◽  
Attention Mechanism ◽  
Learning Ability ◽  
Residual Network ◽  
Multi Scale ◽  
Energy Disaggregation ◽  
Benchmark Datasets ◽  
Load Disaggregation

Non-intrusive load disaggregation (NILD) is of great significance to the development of smart grids. Current energy disaggregation methods extract features from sequences, and this process easily leads to a loss of load features and difficulties in detecting, resulting in a low recognition rate of low-use electrical appliances. To solve this problem, a non-intrusive sequential energy disaggregation method based on a multi-scale attention residual network is proposed. Multi-scale convolutions are used to learn features, and the attention mechanism is used to enhance the learning ability of load features. The residual learning further improves the performance of the algorithm, avoids network degradation, and improves the precision of load decomposition. The experimental results on two benchmark datasets show that the proposed algorithm has more advantages than the existing algorithms in terms of load disaggregation accuracy and judgments of the on/off state, and the attention mechanism can further improve the disaggregation accuracy of low-frequency electrical appliances.

scholarly journals An Optimal Load Disaggregation Method Based on Power Consumption Pattern for Low Sampling Data

2019 ◽  
Vol 11 (1) ◽  
pp. 251 ◽  
Author(s):  
Huijuan Wang ◽  
Wenrong Yang ◽  
Tingyu Chen ◽  
Qingxin Yang
Keyword(s):  
Power Consumption ◽  
Optimization Model ◽  
Smart Grids ◽  
Large Scale ◽  
Reactive Power ◽  
Low Frequency ◽  
Performance Comparison ◽  
Consumption Pattern ◽  
Frequency Data ◽  
Load Disaggregation

In recent years, Smart Grids have been developing globally. Since smart meters only acquire low-frequency data, non-intrusive load monitoring technology using the signature extracted from high-frequency data needs an additional measurement device to be installed, so it is not suitable for promotion to the smart grid environment. However, methods using low-frequency features are poorly-suited when several appliances are switched on at the same time, or devices with similar power values are used. In response to these problems, this paper proposes a load disaggregation method based on the power consumption patterns of appliances, combining an improved mathematical optimization model and optimized bird swarm algorithm (OBSA) for load disaggregation. Experiments show that the method can effectively identify the operating states of appliances, and deal with situations in which multiple instruments have similar power characteristics or are simultaneously switching. The performance comparison proves that the improved model is more efficient than the traditional active and reactive power (PQ) optimization model in load disaggregation performance and computation time, and also verifies the robustness of the proposed method and the convergence of OBSA. As an inexpensive method without extra measurement hardware installed, the process is suitable for large-scale applications in smart grids.

Web interactive non intrusive load disaggregation system for energy consumption awareness

2013 ◽  
Author(s):  
Valeria Amenta ◽  
Salvina Gagliano ◽  
Giuseppe Marco Tina ◽  
Giuseppe Di Modica ◽  
Orazio Tomarchio
Keyword(s):  
Energy Consumption ◽  
Load Disaggregation ◽  
Disaggregation System

Review of NILM applications in smart grids: power quality assessment and assisted independent living

2020 ◽  
Author(s):  
Patricio G. Donato ◽  
Alvaro Hernandez ◽  
Marcos A. Funes ◽  
Ignacio Carugati ◽  
Ruben Nieto ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Power Quality ◽  
Smart Grids ◽  
Independent Living

Sistemas de Comunicaciones y Redes de Datos en Smart Grids, una Revisión al Estado del Arte

2016 ◽  
Vol 12 (1) ◽  
Author(s):  
R. Herrera ◽  
L. Herrera
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
La Red

Las smart grids han sido concebidas como la combinación de la red eléctrica tradicional (generación, transmisión, distribución, y comercialización, incluyendo las energías alternativas) con las redes de comunicaciones electrónicas. Este concepto revoluciona la administración, supervisión, y mantenimiento de la red eléctrica, volviéndola inteligente ante sobrecargas, caídas, apagones, caídas de tensión disminuyendo los tiempos de respuesta ante estos problemas. En este trabajo se analizan las tecnologías de redes de datos y comunicaciones electrónicas implicadas en este nuevo concepto de gestión eficiente de la electricidad. En la primera sección se abordan conceptos introductorios para entender las diferencias entre las redes eléctricas tradicionales y las smart grids, luego se realiza un análisis de las arquitecturas y requerimientos de diseño de una smart grid, para en la siguiente sección elaborar una revisión de las tecnologías de comunicaciones actualmente usadas en smart grids, para finalmente analizar los retos de diseño, líneas de investigación y estandarización actuales en las tecnologías de smart grids. En la última sección se anexan las conclusiones de la realización de este trabajo.

Smart Grids und Datenschutz

2016 ◽  
Author(s):  
Johannes Franck
Keyword(s):  
Smart Grids
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