Zobrazeno 1 - 10
of 1 179
pro vyhledávání: '"Home energy management system"'
Autor:
Abdelrahman O. Ali, Mohamed R. Elmarghany, Ahmed M. Hamed, Mohamed Nabil Sabry, Mohamed M. Abdelsalam
Publikováno v:
Case Studies in Thermal Engineering, Vol 64, Iss , Pp 105410- (2024)
Utility authorities utilize various methods to promote end-user energy conservation, including higher tariff rates and demand response (DR) strategies. This paper investigates an Optimized Smart Home Energy Management System (OSHEMS) designed to mini
Externí odkaz:
https://doaj.org/article/bdd3ffc8610a42b1a398f488f3e3414e
Autor:
Thomas George, A. Immanuel Selvakumar
Publikováno v:
Discover Sustainability, Vol 5, Iss 1, Pp 1-16 (2024)
Abstract A smart home energy management system plays an important role in improving the efficiency of an energy distribution system and also helps to reduce the carbon footprint of the power utility company. For a developing country like India, one o
Externí odkaz:
https://doaj.org/article/93fd692a68d641e99d2b346c2c6bc0dc
Publikováno v:
Alexandria Engineering Journal, Vol 92, Iss , Pp 117-170 (2024)
Electricity is establishing ground as a means of energy, and its proportion will continue to rise in the next generations. Home energy usage is expected to increase by more than 40% in the next 20 years. Therefore, to compensate for demand requiremen
Externí odkaz:
https://doaj.org/article/2a109788ce2548c48e4034f25d890ff8
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e35887- (2024)
In the present day electricity demand, demand response programs support mitigating the power demand and help to improve stability. Within this framework, the Home Energy Management System (HEMS) plays a critical role in optimizing energy consumption
Externí odkaz:
https://doaj.org/article/6e5ed0a79ef44e92966994f01e88a6f5
Publikováno v:
IEEE Access, Vol 12, Pp 163819-163855 (2024)
Advanced control approaches are needed for prosumer-centric residential microgrids to manage power optimally due to the shift to sustainable energy systems In residential contexts where prosumers are important, this study investigates novel approache
Externí odkaz:
https://doaj.org/article/226b86d8766b4a818a540298dce920d7
Publikováno v:
IEEE Access, Vol 12, Pp 142784-142798 (2024)
Home energy management systems (HEMSs) with multiple objectives have been studied. However, in pursuit of a carbon-neutral society, energy management systems (EMSs) for electrified apartment buildings (APBs) have received less attention. Electrified
Externí odkaz:
https://doaj.org/article/d111f844b95240508ae8e5e4192767f4
Autor:
Wei Zhang, Chenhao Huang
Publikováno v:
IEEE Access, Vol 12, Pp 46329-46346 (2024)
Household electrical appliances have developed into a significant part of demand response as a result of the widespread use of smart meters and the popularity of home energy management systems. Load-side resources will still be wasted as a result of
Externí odkaz:
https://doaj.org/article/bc7994fd056d4fd6bbd469538e48fb91
Publikováno v:
Applied Sciences, Vol 14, Iss 23, p 11434 (2024)
This research focuses on developing a low-cost automated demand response controller (DRC) with OpenADR 2.0a capability to enable existing infrared-controlled (IR-controlled) air conditioners (ACs) in homes and buildings to participate in automated de
Externí odkaz:
https://doaj.org/article/491ec9edfae2440985249d12181b64ce
Publikováno v:
Frontiers in Thermal Engineering, Vol 4 (2024)
With the increase in the integration of renewable sources, the home energy management system (HEMS) has become a promising approach to improve grid energy efficiency and relieve network stress. In this context, this paper proposes an optimization dis
Externí odkaz:
https://doaj.org/article/1f06682bd3a04c69aa4a058bc0922558
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 8, Iss , Pp 100624- (2024)
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, incorpora
Externí odkaz:
https://doaj.org/article/8031528654be4c269252a93f26f044c6