Online system for energy assessment in large facilities - Methodology & A real-world case study

P. Venkata Ramakrishna; Gollakota Kaushik; K. Loknath Sudhakar; Geetha Thiagarajan; Anand Sivasubramaniam

doi:10.1109/IGCC.2013.6604481

Online system for energy assessment in large facilities - Methodology & A real-world case study

P. Venkata Ramakrishna
, Gollakota Kaushik
, K. Loknath Sudhakar
, Geetha Thiagarajan
, Anand Sivasubramaniam

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

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.

Original language	English (US)
Title of host publication	2013 International Green Computing Conference Proceedings, IGCC 2013
Publisher	IEEE Computer Society
ISBN (Print)	9781479906222
DOIs	https://doi.org/10.1109/IGCC.2013.6604481
State	Published - Jan 1 2013
Event	2013 International Green Computing Conference, IGCC 2013 - Arlington, VA, United States Duration: Jun 27 2013 → Jun 29 2013

Publication series

Name	2013 International Green Computing Conference Proceedings, IGCC 2013

Other

Other	2013 International Green Computing Conference, IGCC 2013
Country/Territory	United States
City	Arlington, VA
Period	6/27/13 → 6/29/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Software

Access to Document

10.1109/IGCC.2013.6604481

Cite this

Ramakrishna, P. V., Kaushik, G., Sudhakar, K. L., Thiagarajan, G., & Sivasubramaniam, A. (2013). Online system for energy assessment in large facilities - Methodology & A real-world case study. In 2013 International Green Computing Conference Proceedings, IGCC 2013 Article 6604481 (2013 International Green Computing Conference Proceedings, IGCC 2013). IEEE Computer Society. https://doi.org/10.1109/IGCC.2013.6604481

@inproceedings{3ab349dd9a2645e3a00abff3684379ec,

title = "Online system for energy assessment in large facilities - Methodology \& A real-world case study",

abstract = "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.",

author = "Ramakrishna, \{P. Venkata\} and Gollakota Kaushik and Sudhakar, \{K. Loknath\} and Geetha Thiagarajan and Anand Sivasubramaniam",

year = "2013",

month = jan,

day = "1",

doi = "10.1109/IGCC.2013.6604481",

language = "English (US)",

isbn = "9781479906222",

series = "2013 International Green Computing Conference Proceedings, IGCC 2013",

publisher = "IEEE Computer Society",

booktitle = "2013 International Green Computing Conference Proceedings, IGCC 2013",

address = "United States",

note = "2013 International Green Computing Conference, IGCC 2013 ; Conference date: 27-06-2013 Through 29-06-2013",

}

Ramakrishna, PV, Kaushik, G, Sudhakar, KL, Thiagarajan, G & Sivasubramaniam, A 2013, Online system for energy assessment in large facilities - Methodology & A real-world case study. in 2013 International Green Computing Conference Proceedings, IGCC 2013., 6604481, 2013 International Green Computing Conference Proceedings, IGCC 2013, IEEE Computer Society, 2013 International Green Computing Conference, IGCC 2013, Arlington, VA, United States, 6/27/13. https://doi.org/10.1109/IGCC.2013.6604481

Online system for energy assessment in large facilities - Methodology & A real-world case study. / Ramakrishna, P. Venkata; Kaushik, Gollakota; Sudhakar, K. Loknath et al.
2013 International Green Computing Conference Proceedings, IGCC 2013. IEEE Computer Society, 2013. 6604481 (2013 International Green Computing Conference Proceedings, IGCC 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 - https://www.scopus.com/pages/publications/84886497253

UR - https://www.scopus.com/pages/publications/84886497253#tab=citedBy

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 -

Ramakrishna PV, Kaushik G, Sudhakar KL, Thiagarajan G, Sivasubramaniam A. Online system for energy assessment in large facilities - Methodology & A real-world case study. In 2013 International Green Computing Conference Proceedings, IGCC 2013. IEEE Computer Society. 2013. 6604481. (2013 International Green Computing Conference Proceedings, IGCC 2013). doi: 10.1109/IGCC.2013.6604481

Online system for energy assessment in large facilities - Methodology & A real-world case study

Abstract

Publication series

Other

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this