Results 71 to 80 of about 2,135 (206)

Smart meter privacy control strategy based on multi‐agent hidden Markov energy management model under low trust communication

IET Control Theory &Applications, Volume 18, Issue 16, Page 2192-2202, November 2024.
This paper designed an intelligent meter privacy control strategy based on multi‐agent implicit Markov decision, which confuses the data of smart meters by controlling the charging and discharging process of the energy storage system. Abstract With the popularity of smart meters, the frequent information exchange between smart grids and consumers leads
Qingchen Wang, Qing Xu, Xiyu Lei, Dazhong Ma   +3 more
wiley   +1 more source

Non-intrusive load disaggregation using graph signal processing [PDF]

, 2018
With the large-scale roll-out of smart metering worldwide, there is a growing need to account for the individual contribution of appliances to the load demand.
He, Kanghang, Liao, Jing, Stankovic, Lina, Stankovic, Vladimir   +3 more
core   +1 more source

Smart grid public datasets: Characteristics and associated applications

IET Smart Grid, Volume 7, Issue 5, Page 503-530, October 2024.
The authors offer an exhaustive review and analysis of over 50 publicly available smart grid datasets, segmented into micro and macro consumption, in‐home consumption, and grid data. Aimed at simplifying dataset selection for energy management, grid optimisation, and internet of things applications, the research identifies gaps and challenges in the ...
Emran Altamimi, Abdulaziz Al‐Ali, Qutaibah M. Malluhi, Abdulla K. Al‐Ali   +3 more
wiley   +1 more source

Low-Power Appliance Monitoring Using Factorial Hidden Markov Models [PDF]

, 2013
To optimize the energy utilization, intelligent energy management solutions require appliance-specific consumption statistics. One can obtain such information by deploying smart power outlets on every device of interest, however it incurs extra hardware ...
Gluhak, Alexander, Imran, Muhammad Ali, Nati, Michele, Zoha, Ahmed   +3 more
core   +1 more source

A Multi-Agent NILM Architecture for Event Detection and Load Classification

Energies, 2020
A multi-agent architecture for a Non-Intrusive Load Monitoring (NILM) solution is presented and evaluated. The underlying rationale for such an architecture is that each agent (load event detection, feature extraction, and classification) outperforms ...
André Eugenio Lazzaretti, Douglas Paulo Bertrand Renaux, Carlos Raimundo Erig Lima, Bruna Machado Mulinari, Hellen Cristina Ancelmo, Elder Oroski, Fabiana Pöttker, Robson Ribeiro Linhares, Lucas da Silva Nolasco, Lucas Tokarski Lima, Júlio Shigeaki Omori, Rodrigo Braun dos Santos   +11 more
doaj   +1 more source

Local privacy‐friendly verification of customer participation in frequency regulation services using smart meter data

IET Smart Grid, Volume 7, Issue 5, Page 593-609, October 2024.
The authors developed a privacy‐friendly verification algorithm for participation in frequency containment response services. The methodology used data‐driven models, local consumption measurements obtained from the smart meter, and the activation set points to estimate whether a user participated in the flexibility provision as requested by the ...
Emilio J. Palacios‐Garcia, Vladimir Vrabel, Geert Deconinck   +2 more
wiley   +1 more source

Scalability of Non-intrusive Load Monitoring for Shipboard Applications [PDF]

, 2009
The non-intrusive load monitor has been demonstrated as an effective tool for evaluating and monitoring shipboard electro-mechanical systems through analysis of electrical power data. A key advantage of the non-intrusive approach is the ability to reduce
Coe, Steven G., Cox, Robert W., Douglas, Keith, Galvin, Scott T., Goshorn, J. Andrew, Haag, Jennifer R., Leeb, Steven B., Paris, James, Remscrim, Zachary N.   +8 more
core  

Occupancy Based Household Energy Disaggregation using Ultra Wideband Radar and Electrical Signature Profiles [PDF]

, 1936
Human behaviour and occupancy accounts for a substantial proportion of variation in the energy efficiency pro le of domestic buildings. Yet while people often claim that they would like to reduce their energy bills, rhetoric frequently fails to match ...
Brown, R, Ghavami, N, Siddiqui, H, Adjrad, M, Ghavami, M, Dudley, S, Brown, R, Ghavami, N, Siddiqui, H, Adjrad, M, Ghavami, M, Dudley, S   +11 more
core   +2 more sources

Enhancing non-intrusive load monitoring with weather and calendar feature integration in DAE

Frontiers in Energy Research
The construction of modern power system is key to achieving dual carbon goals, where non-intrusive load monitoring (NILM) plays a vital role in enhancing energy utilization efficiency and energy management.
Zengxin Pu, Yu Huang, Min Weng, Yang Meng, Yunbin Zhao, Gengsheng He   +5 more
doaj   +1 more source

An artificial intelligence‐based non‐intrusive load monitoring of energy consumption in an electrical energy system using a modified K‐Nearest Neighbour algorithm

IET Smart Cities, Volume 6, Issue 3, Page 132-155, September 2024.
Non‐intrusive load monitoring, prediction and forecasting. Abstract Energy profligacy and appliance degradation are the apex reasons accounting for the continuous rise in power wastage and high energy bills. The decline in energy conservation and management in residences has been largely attributed to the financial implications of using intrusive ...
Benjamin Kommey, Elvis Tamakloe, Jerry John Kponyo, Eric Tutu Tchao, Andrew Selasi Agbemenu, Henry Nunoo‐Mensah   +5 more
wiley   +1 more source