TY - GEN
T1 - Online system for energy assessment in large facilities - Methodology & A real-world case study
AU - Ramakrishna, P. Venkata
AU - Kaushik, Gollakota
AU - Sudhakar, K. Loknath
AU - Thiagarajan, Geetha
AU - Sivasubramaniam, Anand
PY - 2013/1/1
Y1 - 2013/1/1
N2 - Over 40% of the energy used in most cities is spent on heating or cooling buildings. Buildings do change dynamically in terms of their configuration, usage and performance. This calls for an online system which can monitor their performance in real time. A critical component of such a system is a well calibrated model of the facility that accurately predicts the actual facility's energy behavior. This paper discusses a novel methodology that allows modeling the energy consumption of a facility just with one energy consumption meter. The methodology does not require additional sensors of any kind. The proposed method leverages statistical analytics and evolutionary search techniques to calibrate the energy model of a facility. We present the methodology and a real world case study of a facility (in UK) in this paper.
AB - Over 40% of the energy used in most cities is spent on heating or cooling buildings. Buildings do change dynamically in terms of their configuration, usage and performance. This calls for an online system which can monitor their performance in real time. A critical component of such a system is a well calibrated model of the facility that accurately predicts the actual facility's energy behavior. This paper discusses a novel methodology that allows modeling the energy consumption of a facility just with one energy consumption meter. The methodology does not require additional sensors of any kind. The proposed method leverages statistical analytics and evolutionary search techniques to calibrate the energy model of a facility. We present the methodology and a real world case study of a facility (in UK) in this paper.
UR - http://www.scopus.com/inward/record.url?scp=84886497253&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84886497253&partnerID=8YFLogxK
U2 - 10.1109/IGCC.2013.6604481
DO - 10.1109/IGCC.2013.6604481
M3 - Conference contribution
AN - SCOPUS:84886497253
SN - 9781479906222
T3 - 2013 International Green Computing Conference Proceedings, IGCC 2013
BT - 2013 International Green Computing Conference Proceedings, IGCC 2013
PB - IEEE Computer Society
T2 - 2013 International Green Computing Conference, IGCC 2013
Y2 - 27 June 2013 through 29 June 2013
ER -
