TY - GEN
T1 - Development of Residential Load Simulator for Advanced Residential Energy Management
AU - Amer, Aya
AU - Bayhan, Sertac
AU - Ehsani, Mark
AU - Massoud, Ahmed
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In an era where residential energy consumption and management have become pivotal components of modern power grids, it is essential to develop tools that enable a deeper understanding of household energy dynamics. This paper responds to this point by introducing a Residential Load Simulator (RLS) for dynamic load modeling. The simulator features unique aspects of the user interface, different types of household appliances, and incorporates the modeling of renewable energy resources. It can be customized to different types of residential setups or geographic locations. This includes various household sizes, climatic conditions, or energy consumption patterns. Also, it can be used as an educational tool for students, homeowners, or energy professionals, offering a comprehensive platform to test and refine home energy management strategies. These features make it an excellent resource for both academic and practical learning, helping to bridge the gap between theoretical knowledge and real-world applications.
AB - In an era where residential energy consumption and management have become pivotal components of modern power grids, it is essential to develop tools that enable a deeper understanding of household energy dynamics. This paper responds to this point by introducing a Residential Load Simulator (RLS) for dynamic load modeling. The simulator features unique aspects of the user interface, different types of household appliances, and incorporates the modeling of renewable energy resources. It can be customized to different types of residential setups or geographic locations. This includes various household sizes, climatic conditions, or energy consumption patterns. Also, it can be used as an educational tool for students, homeowners, or energy professionals, offering a comprehensive platform to test and refine home energy management strategies. These features make it an excellent resource for both academic and practical learning, helping to bridge the gap between theoretical knowledge and real-world applications.
KW - Appliance modeling
KW - Energy consumption profile
KW - demand side management
KW - energy efficiency
UR - http://www.scopus.com/inward/record.url?scp=85186714850&partnerID=8YFLogxK
U2 - 10.1109/SGRE59715.2024.10428887
DO - 10.1109/SGRE59715.2024.10428887
M3 - Conference contribution
AN - SCOPUS:85186714850
T3 - 4th International Conference on Smart Grid and Renewable Energy, SGRE 2024 - Proceedings
BT - 4th International Conference on Smart Grid and Renewable Energy, SGRE 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Smart Grid and Renewable Energy, SGRE 2024
Y2 - 8 January 2024 through 10 January 2024
ER -