Results 41 to 50 of about 3,621 (255)

Non-intrusive load monitoring for water (WaterNILM) [PDF]

WIT Transactions on The Built Environment, 2014
Better water consumption decisions benefit from detailed use information. Easily installed non-intrusive vibration sensors provide a “no-fuss” retrofit solution for detecting the operation of water consuming appliances. The sensors measure pipe vibration, which are revealed to be a rich source of information for identifying loads.
C. Schantz, B. Sennett, J. Donnal, M. Gillman, S. Leeb   +4 more
openaire   +1 more source

A Dataset for Non-Intrusive Load Monitoring: Design and Implementation

Energies, 2020
A NILM dataset is a valuable tool in the development of Non-Intrusive Load Monitoring techniques, as it provides a means of evaluation of novel techniques and algorithms, as well as for benchmarking.
Douglas Paulo Bertrand Renaux, Fabiana Pottker, Hellen Cristina Ancelmo, André Eugenio Lazzaretti, Carlos Raiumundo Erig Lima, Robson Ribeiro Linhares, Elder Oroski, Lucas da Silva Nolasco, Lucas Tokarski Lima, Bruna Machado Mulinari, José Reinaldo Lopes da Silva, Júlio Shigeaki Omori, Rodrigo Braun dos Santos   +12 more
doaj   +1 more source

Adaptive Twisting Metamaterials

Advanced Materials, EarlyView.
This work introduces torque‐controlled twisting metamaterials as a transformative platform for adaptive crashworthiness. By combining multiscale predictive modeling with experimental validation on additively manufactured gyroids, it demonstrates tunable stiffness, collapse stress, and energy absorption.
Mattia Utzeri, Maria L. Gatto, Edoardo Mancini, Donato Orlandi, Daniele Cortis, Marco Sasso, Shanmugam Kumar   +6 more
wiley   +1 more source

Incorporating coincidental water data into non-intrusive load monitoring

Sustainable Energy, Grids and Networks, 2022
Non-intrusive load monitoring (NILM) as the process of extracting the usage pattern of appliances from the aggregated power signal is among successful approaches aiding residential energy management. In recent years, high volume datasets on power profiles have become available, which has helped make classification methods employed for the NILM purpose ...
Mohammad Mehdi Keramati, Elnaz Azizi, Hamidreza Momeni, Sadegh Bolouki   +3 more
openaire   +2 more sources

Positively Charged Polymer‐Brush MOFs for Large‐Area, Pressure‐Resistant Gas Separation Membranes

Advanced Materials, EarlyView.
A universal POPA strategy enables positively charged polymer‐brush MOFs with self‐adaptive interfacial interlocking to resist aggregation under fast processing. This design ensures seamless dispersion within large‐area selective layers, achieving 1 m‐wide roll‐to‐roll fabrication of pressure‐resistant MMCMs with tunable CO2 separation performance ...
Yi Yang, Ye Yuan, Yuxiu Sun, Fei Shi, Chenyang Song, Weifan Wang, Qinghua Li, Menglong Sheng, Zhihua Qiao, Jingwei Hou, Anthony K. Cheetham, Zhi Wang   +11 more
wiley   +1 more source

Energy Disaggregation of Industrial Machinery Utilizing Artificial Neural Networks for Non-intrusive Load Monitoring

Energy and AI
This paper explores the application of non-intrusive load monitoring techniques in the industrial sector for disaggregating the energy consumption of machinery in manufacturing processes.
Philipp Pelger, Johannes Steinleitner, Alexander Sauer   +2 more
doaj   +1 more source

Oxygen Evolution Reaction Catalysts for Acidic‐Media CO2 Electrolyzers

Advanced Materials, EarlyView.
Acidic‐media CO2 electroreduction (CO2R) could decarbonize chemical production, despite relying on rare‐earth elements for anodic oxygen evolution reaction (OER). Transferring the learnings from mature sister technologies (water electrolysis) could accelerate technological development.
Mingcheng Huang, Adnan Ozden
wiley   +1 more source

Fed‐NILM: A federated learning‐based non‐intrusive load monitoring method for privacy‐protection

Energy Conversion and Economics, 2022
Non‐intrusive load monitoring (NILM) is essential for understanding consumer power consumption patterns and may have wide applications such as in carbon emission reduction and energy conservation.
Haijin Wang, Caomingzhe Si, Guolong Liu, Junhua Zhao, Fushuan Wen, Yusheng Xue   +5 more
doaj   +1 more source

Degradation Mechanisms in PEM Water Electrolysis: Diagnosis and Impact

Advanced Materials Technologies, EarlyView.
This review provides an analysis of degradation mechanisms in proton electrolyte membrane water electrolyzers (PEMWE), focusing on all key components. It discusses diagnostic and measurement techniques for evaluating degradation, less‐studied mechanisms, and an expert survey.
Annik Bernhardt, Katja Lange, Robert Göckeritz, Erik Grunwald, Angelika Hähnel, Alexander Müller, Volker Naumann, Sistan Rasuli, Wolfram Münchgesang, Bruno G. Pollet, Kerstin Witte‐Bodnar, Klemens Ilse   +11 more
wiley   +1 more source

A feature fusion technique for improved non-intrusive load monitoring

Energy Informatics, 2020
Load identification is an essential step in Non-Intrusive Load Monitoring (NILM), a process of estimating the power consumption of individual appliances using only whole-house aggregate consumption. Such estimates can help consumers and utility companies
Raghunath Reddy, Vishal Garg, Vikram Pudi   +2 more
doaj   +1 more source