Results 41 to 50 of about 24,815 (274)

Proficiency of Power Values for Load Disaggregation [PDF]

IEEE Transactions on Instrumentation and Measurement, 2016
Load disaggregation techniques infer the operation of different power consuming devices from a single measurement point that records the total power draw over time. Thus, a device consuming power at the moment can be understood as information encoded in the power draw.
Pöchacker, Manfred, Egarter, Dominik, Elmenreich, Wilfried   +2 more
openaire   +2 more sources

A Fusion Load Disaggregation Method Based on Clustering Algorithm and Support Vector Regression Optimization for Low Sampling Data

Future Internet, 2019
In order to achieve more efficient energy consumption, it is crucial that accurate detailed information is given on how power is consumed. Electricity details benefit both market utilities and also power consumers. Non-intrusive load monitoring (NILM), a
Quanbo Yuan, Huijuan Wang, Botao Wu, Yaodong Song, Hejia Wang   +4 more
doaj   +1 more source

NILM-based approach for energy efficiency assessment of household appliances

Energy Informatics, 2020
This paper presents a novel Non-Intrusive Load Monitoring (NILM) approach focusing on the Energy Efficiency (EE) assessment of residential appliances.
Fernando D. Garcia, Wesley A. Souza, Ivando S. Diniz, Fernando P. Marafão   +3 more
doaj   +1 more source

Training-Free Non-Intrusive Load Monitoring of Electric Vehicle Charging with Low Sampling Rate

, 2014
Non-intrusive load monitoring (NILM) is an important topic in smart-grid and smart-home. Many energy disaggregation algorithms have been proposed to detect various individual appliances from one aggregated signal observation.
Hwang, Dong Yoon, Li, Ying, Moon, Joong Ki, Pi, Zhouyue, Son, Jae Hyun, Trayer, Mark, Zhang, Zhilin   +6 more
core   +1 more source

NILM techniques for intelligent home energy management and ambient assisted living: a review [PDF]

, 2019
The ongoing deployment of smart meters and different commercial devices has made electricity disaggregation feasible in buildings and households, based on a single measure of the current and, sometimes, of the voltage.
Alvaro Hernandez, Antonio Ruano, Egarter, Firth, Jesus Ureña, Juan Garcia, Kramer, Maria Ruano   +7 more
core   +1 more source

Synergistic Non-Intrusive Load Monitoring: Dual-Model Training and Inference for Improved Load Disaggregation Prediction

Energies
Load disaggregation is the process of identifying an individual appliance’s power demand within aggregate electrical load data. Virtually all recently proposed disaggregation methods are based on neural networks, thanks to their superior performance ...
Mazen Bouchur, Andreas Reinhardt
doaj   +1 more source

GREEND: An Energy Consumption Dataset of Households in Italy and Austria [PDF]

, 2014
Home energy management systems can be used to monitor and optimize consumption and local production from renewable energy. To assess solutions before their deployment, researchers and designers of those systems demand for energy consumption datasets.
D'Alessandro, Salvatore, Egarter, Dominik, Elmenreich, Wilfried, Monacchi, Andrea, Tonello, Andrea M.   +4 more
core   +1 more source

A 3D Bioprinted Spheroid‐Laden dECM‐Enriched Osteosarcoma Model for Enhanced Drug Testing and Therapeutic Discovery

Advanced Healthcare Materials, EarlyView.
A 3D biomimetic OS model was developed by bioprinting an OS‐cell‐derived dECM‐enriched bioink with OS spheroids incorporated. The model showed upregulation of known OS prognostic markers and increased resistance to doxorubicin, compared to 2D cultures and scaffold‐free spheroids, making this a more clinically relevant platform for drug discovery ...
Margarida F. Domingues, Maria Catarina Carreira, Mafalda S. Santos, Daniela Pacheco, Frederico Castelo Ferreira, Paola Sanjuan‐Alberte, João Carlos Silva   +6 more
wiley   +1 more source

Load Flexibility Forecast for DR Using Non-Intrusive Load Monitoring in the Residential Sector

Energies, 2019
Demand response services and energy communities are set to be vital in bringing citizens to the core of the energy transition. The success of load flexibility integration in the electricity market, provided by demand response services, will depend on a ...
Alexandre Lucas, Luca Jansen, Nikoleta Andreadou, Evangelos Kotsakis, Marcelo Masera   +4 more
doaj   +1 more source

Patient‐Derived 3D Bioprinted Cardiac Organoid Constructs Reveal Key Pathological Features of Duchenne Muscular Dystrophy

Advanced Healthcare Materials, EarlyView.
Patient‐derived cardiac organoids reveal key features of Duchenne muscular dystrophy cardiomyopathy, including apoptosis, oxidative stress, calcium handling defects, and mechanical remodeling. By integrating organoids into alginate–gelatin bioprinted constructs, disease phenotypes are organized into scalable 3D cardiac tissues displaying extracellular ...
Vittoria Marini, Margalida Campaner Socias, Andreas Dimopoulos, Lorenza Rinvenuto, Enrico Pozzo, Diana Stalkopf, Angelo Serafini, Sara Morri, Ashley Wang, Rita La Rovere, Yoke Chin Chai, Sveva Bollini, Geert Bultynck, H. Llewelyn Roderick, Ioannis Papantoniou, Maurilio Sampaolesi   +15 more
wiley   +1 more source