Results 51 to 60 of about 24,815 (274)

Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey

Sensors, 2012
Appliance Load Monitoring (ALM) is essential for energy management solutions, allowing them to obtain appliance-specific energy consumption statistics that can further be used to devise load scheduling strategies for optimal energy utilization.
Ahmed Zoha, Alexander Gluhak, Muhammad Ali Imran, Sutharshan Rajasegarar   +3 more
doaj   +1 more source

A data-driven approach for the disaggregation of building-sector heating and cooling loads from hourly utility load data

Energy Strategy Reviews, 2023
Electrification of space heating in buildings, currently dominated by on-site fossil fuel use, will be an essential element of decarbonization.
Yinbo Hu, Michael Waite, Evan Patz, Bainan Xia, Yixing Xu, Daniel Olsen, Naveen Gopan, Vijay Modi   +7 more
doaj   +1 more source

Autonomous load disaggregation approach based on active power measurements [PDF]

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), 2015
With the help of smart metering valuable information of the appliance usage can be retrieved. In detail, non-intrusive load monitoring (NILM), also called load disaggregation, tries to identify appliances in the power draw of an household. In this paper an unsupervised load disaggregation approach is proposed that works without a priori knowledge about
Egarter, Dominik, Elmenreich, Wilfried
openaire   +2 more sources

Surface‐Capped Protein Nanoparticles for Nonviral Gene Delivery

Advanced Materials, EarlyView.
ABSTRACT Developing simple, safe, and efficient nonviral delivery systems remains a significant challenge in bioengineering. Nanoparticles offer promising gene delivery capabilities with reduced toxicity; however, long‐standing challenges related to effective plasmid encapsulation and delivery exist.
Fjorela Xhyliu, Yao Yao, Yeongun Ko, Grant Grasman, Jeffery E. Raymond, Albert Chang, Yuxuan Deng, Grant Dominic, Michael Triebwasser, Joerg Lahann   +9 more
wiley   +1 more source

Frequency Control using Cooperative Demand Response through Accumulated Energy [PDF]

, 2015
This paper proposes a hierarchical control architecture for engaging demand into providing primary frequency response services. The proposed architecture relies on the use of information about accumulated energy for the aggregation of demand ...
Annaswamy, Anuradha, Cvetkovic, Milos
core  

Demo Abstract: NILMTK v0.2: A Non-intrusive Load Monitoring Toolkit for Large Scale Data Sets

, 2014
In this demonstration, we present an open source toolkit for evaluating non-intrusive load monitoring research; a field which aims to disaggregate a household's total electricity consumption into individual appliances.
Batra, Nipun, Dutta, Haimonti, Kelly, Jack, Knottenbelt, William, Parson, Oliver, Rogers, Alex, Singh, Amarjeet, Srivastava, Mani   +7 more
core   +1 more source

Ovarian Matrisome Dynamics and αvβ3‐Mediated Regulation in Early Follicular Development

Advanced Science, EarlyView.
The matrisome undergoes dynamic remodeling during early follicular development. Integrin αvβ3 mediates matrisome signals, regulating primordial follicle activation/atresia and secondary follicle growth via Hippo/mTOR pathways, with conserved roles in human ovaries, offering therapeutic targets for ovarian disorders.
Tong Wu, Yanzhi Feng, Qingqing Zhu, Ting Jiang, Yueyue Gao, Kebing Nie, Xianan Tang, Ying Chen, Dianxing Hu, Xudan Yang, Shixuan Wang, Meng Wu, Jinjin Zhang   +12 more
wiley   +1 more source

A VMD-deep learning approach for individual load monitoring and forecasting for residential buildings energy management

e-Prime: Advances in Electrical Engineering, Electronics and Energy
This paper presents a comprehensive solution for Multi-Individual load disaggregation and Multi-individual load Forecasting in residential energy systems. The approach combines Variable Mode Decomposition (VMD) and deep learning algorithms, incorporating
Ismael Jrhilifa, Hamid Ouadi, Abdelilah Jilbab, Nada Mounir, Abdellah Ouaguid   +4 more
doaj   +1 more source

A Practical Load Disaggregation Approach for Monitoring Industrial Users Demand with Limited Data Availability

Energies, 2021
The emergence of smart sensors has had a significant impact on the utility industry. In particular, it has made the planning and implementation of demand-side management (DSM) programmes easier.
Sara Tavakoli, Kaveh Khalilpour
doaj   +1 more source

A comparison of generative and discriminative appliance recognition models for load monitoring [PDF]

, 2013
Appliance-level Load Monitoring (ALM) is essential, not only to optimize energy utilization, but also to promote energy awareness amongst consumers through real-time feedback mechanisms.
Gluhak, Alexander, Imran, Muhammad Ali, Nati, Michele, Zoha, Ahmed   +3 more
core   +1 more source