Dynamic Occupant Adaptive Energy Management System (DOAEM) for Smart Building
The increasing global energy demands highlight the need for improved energy management systems in smart buildings. Traditional systems are inadequate in resolving the dynamic interplay between energy consumption and occupant comfort due to their inability to adapt to the dynamic nature of occup...
Saved in:
Main Authors: | Fizza, Ghulam, Kadir, Kushsairy, Nasir, Haidawati, Shah, Asadullah |
---|---|
Format: | Proceeding Paper |
Language: | English English |
Published: |
IEEE
2024
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/114759/7/114759_Dynamic%20Occupant%20Adaptive%20Energy%20Management%20System%28DOAEM%29%20for%20Smart%20Building.pdf http://irep.iium.edu.my/114759/1/fizza%20shah%20Dynamic_Occupant_Adaptive_Energy_Management_SystemDOAEM_for_Smart_Building.pdf http://irep.iium.edu.my/114759/ https://ieeexplore.ieee.org/abstract/document/10675538 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Review on energy consumption optimization techniques in IoT based smart building environments
by: Shah, Abdul Salam, et al.
Published: (2019) -
Energy consumption optimization in the smart homes
by: Shah, Asadullah
Published: (2020) -
Energy consumption optimization in the smart homes
by: Shah, Asadullah
Published: (2021) -
Smart learning environment framework
by: Shah, Asadullah
Published: (2020) -
Dynamic user preference parameters selection
and energy consumption optimization for smart
homes using deep extreme learning machine
and bat algorithm
by: Shah, Abdul Salam, et al.
Published: (2020)