A platform for research: civil engineering, architecture and urbanism
A Novel Method for Non Intrusive Load Monitoring of Lighting Systems in Commercial Buildings
In the U.S., buildings account for 42% of the total energy consumption - half of which is consumed by commercial buildings. Knowledge of electricity use patterns in buildings has several applications in demand side management. In commercial buildings, acquiring energy consumption information with high granularity requires consuming node level sub-metering, which is prohibitively expensive. Accordingly, a cost effective, non-intrusive energy metering is needed to provide room level and personalized energy consumptions. This paper proposes a vision for an alternative non-intrusive load monitoring approach in commercial buildings. As part of the overall vision, the feasibility of non-intrusive lighting load monitoring using single wireless light intensity sensors has been explored. The experimental results show the feasibility of the vision introducing area of the room, the fluctuation amplitude of the captured signal, and the daily variation trend of the signal as some of the parameters and features that could be applied for machine-learning training purposes.
A Novel Method for Non Intrusive Load Monitoring of Lighting Systems in Commercial Buildings
In the U.S., buildings account for 42% of the total energy consumption - half of which is consumed by commercial buildings. Knowledge of electricity use patterns in buildings has several applications in demand side management. In commercial buildings, acquiring energy consumption information with high granularity requires consuming node level sub-metering, which is prohibitively expensive. Accordingly, a cost effective, non-intrusive energy metering is needed to provide room level and personalized energy consumptions. This paper proposes a vision for an alternative non-intrusive load monitoring approach in commercial buildings. As part of the overall vision, the feasibility of non-intrusive lighting load monitoring using single wireless light intensity sensors has been explored. The experimental results show the feasibility of the vision introducing area of the room, the fluctuation amplitude of the captured signal, and the daily variation trend of the signal as some of the parameters and features that could be applied for machine-learning training purposes.
A Novel Method for Non Intrusive Load Monitoring of Lighting Systems in Commercial Buildings
Jazizadeh, F. (author) / Becerik-Gerber, B. (author)
International Conference on Computing in Civil Engineering ; 2012 ; Clearwater Beach, Florida, United States
Computing in Civil Engineering (2012) ; 523-530
2012-06-11
Conference paper
Electronic Resource
English
A Novel Method for Non Intrusive Load Monitoring of Lighting Systems in Commerical Buildings
British Library Conference Proceedings | 2012
|Non-intrusive occupancy sensing in commercial buildings
Elsevier | 2017
|