Title
Effective and Comfortable Power Control Model Using Kalman Filter for Building Energy Management
Abstract
In building environment energy management is a big problem in recent years. Several methods and proposals exist in the literature for energy management, but the trade-off between occupants comfort level and energy usage is still a major challenge and remained unresolved. In this paper, we propose power control model for comfortable and energy saving using fuzzy controller and Kalman filter. We have given focus in two directions simultaneously: first is to maximize the occupants comfort level and second is to control the usage of the power. To achieve these tasks, first we implement fuzzy logic to control the environment and second, we predict the consume power using Kalman filter. The parameters we consider are temperature, illumination and air quality. At the end of the paper we compare the power consumption results in case of prediction and with no prediction. The results proved the effectiveness of the proposed technique in obtaining the solution for the aforementioned problems.
Year
DOI
Venue
2013
10.1007/s11277-013-1259-9
Wireless Personal Communications
Keywords
Field
DocType
Energy management in buildings,Comfort index,Energy savings Kalman filter,Fuzzy logic
Energy management,Control theory,Simulation,Computer science,Fuzzy logic,Power control,Real-time computing,Kalman filter,Control engineering,Air quality index,Building energy,Power consumption
Journal
Volume
Issue
ISSN
73
4
0929-6212
Citations 
PageRank 
References 
3
0.68
21
Authors
2
Name
Order
Citations
PageRank
Safdar Ali1557.53
Do-Hyeun Kim28822.95