Zobrazeno 1 - 10
of 4 996
pro vyhledávání: '"Non-intrusive"'
Autor:
Rawda Ramadan, Qi Huang, Amr S. Zalhaf, Olusola Bamisile, Jian Li, Diaa-Eldin A. Mansour, Xiangning Lin, Doaa M. Yehia
Publikováno v:
Smart Cities, Vol 7, Iss 4, Pp 1907-1935 (2024)
Recently, various strategies for energy management have been proposed to improve energy efficiency in smart grids. One key aspect of this is the use of microgrids. To effectively manage energy in a residential microgrid, advanced computational tools
Externí odkaz:
https://doaj.org/article/a07595735ecb4004878cb09ecba61151
Publikováno v:
Smart Cities, Vol 7, Iss 4, Pp 1936-1949 (2024)
Much of today’s power grid was designed and built using technologies and organizational principles developed decades ago. The lack of energy resources and classic power networks are the main causes of the development of the smart grid to efficientl
Externí odkaz:
https://doaj.org/article/8f5ebc3fcd1d46259b5f619f19d42846
Autor:
M. Esmaeili Shayan
Publikováno v:
Iranica Journal of Energy and Environment, Vol 15, Iss 3, Pp 287-293 (2024)
Environmentally sustainable metropolitan environments are characterized by their ability to effectively produce and distribute power while reducing their impact on the environment. Smart homes are essential in smart cities since they enhance sustaina
Externí odkaz:
https://doaj.org/article/457ab5746f674dd09162b865d7fda019
Publikováno v:
SoftwareX, Vol 28, Iss , Pp 101878- (2024)
Load profiling for residential aggregates encounters challenges due to data scarcity and the inadequacy of standard profiles obtained from statistical analyses. In the absence of hourly data, many methods rely on standard profiles, which could lead t
Externí odkaz:
https://doaj.org/article/bc41a1a71a8c47278d1545899ee23828
Autor:
Soroush Senemmar, Jie Zhang
Publikováno v:
Measurement: Sensors, Vol 35, Iss , Pp 101298- (2024)
In this study, a non-intrusive load monitoring (NILM) framework is developed for next generation shipboard power systems (SPS) based on a discrete wavelet transform signal processing and a convolutional neural network (CNN). We have applied the devel
Externí odkaz:
https://doaj.org/article/f3c9f31fbc964abf8c449e0a9d1eba02
Autor:
Manuel Vogel, Martin Friedli, Martin Camenzind, Guido Kniesel, Christoph Klemenjak, Gianni Gugolz, Patrick Huber, Alberto Calatroni, Lukas Kaufmann, Andreas Rumsch, Andrew Paice
Publikováno v:
Data in Brief, Vol 56, Iss , Pp 110854- (2024)
Electrical disaggregation, also known as non-intrusive load monitoring (NILM) or non-intrusive appliance load monitoring (NIALM), attempts to recognize the energy consumption of single electrical appliances from the aggregated signal. This capability
Externí odkaz:
https://doaj.org/article/2ea42d066b9549d8a8cb1cd3590dae8f
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 6, Pp 846-854 (2024)
Non-intrusive load disaggregation (NILD) can deeply explore the value of customer power consumption data, providing an important reference for decision analysis such as power equipment fault monitoring and demand response. Aimed at the conflict betwe
Externí odkaz:
https://doaj.org/article/4a2d4b3219d74f9a9027b31c22053dcf
Publikováno v:
Energy Conversion and Economics, Vol 5, Iss 3, Pp 146-155 (2024)
Abstract A power system can be regarded as a cyber‐physical system with physical power networks and a cyber system based on increasing engagement with information communication technologies for smart grid functionalities for more efficient operatio
Externí odkaz:
https://doaj.org/article/5b8efdda6c104a39bbdd584d77ad5217
Publikováno v:
Energy Informatics, Vol 7, Iss 1, Pp 1-18 (2024)
Abstract Non intrusive load monitoring belongs to the key technologies of intelligent power management systems, playing a crucial role in smart grids. To achieve accurate identification and prediction of electricity load, intelligent optimization alg
Externí odkaz:
https://doaj.org/article/763b268f5b78492ca1441c4527da11d1
Autor:
Mounica Nutakki, Srihari Mandava
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-21 (2024)
Abstract The integration of smart homes into smart grids presents numerous challenges, particularly in managing energy consumption efficiently. Non-intrusive load management (NILM) has emerged as a viable solution for optimizing energy usage. However
Externí odkaz:
https://doaj.org/article/b48394a1d7cb40ae9bbcabbc152c0e02