Principal component analysis for monitoring electrical consumption of academic buildings

Energy Procedia

Volumn 62, Issue , 2014, Pages 555-564

  Burgas, Llorenç ^a   Melendez, Joaquim ^a   Colomer, Joan ^a  

^a UNIVERSITY OF GIRONA   (Spain)

Author keywords

Building energy consumption; Data mining; Electricity consumption; Fault detection and diagnostics; Modelling; Monitoring; Multiway Principal component analysis; Occupant behavior; Principal component analysis

Indexed keywords

EID: 84923428667     PISSN: 18766102     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.egypro.2014.12.417     Document Type: Conference Paper

References (18)

1. Yu Z, Fung BCM, Haghighat F, Yoshino H, Morofsky E. A systematic procedure to study the influence of occupant behavior on building energy consumption. Energy Build 2011;43:1409-17.
2. Swan LG, Ugursal VI. Modeling of end-use energy consumption in the residential sector: A review of modeling techniques. Renew Sustain Energy Rev 2009;13:1819-35.
3. Zhao H, Magoulès F. A review on the prediction of building energy consumption. Renew Sustain Energy Rev 2012;16:3586-92.
4. Park K, Kim Y, Kim S, Kim K, Lee W, Park H. Building Energy Management System based on Smart Grid. 2011 IEEE 33rd Int. Telecommun. Energy Conf., Ieee; 2011, p. 1-4.
5. Hajdukiewicz M, Keane M, O'Flynn B, O'Grady W. Formal calibration methodology for CFD model development to support the operation of energy efficient buildings. Tenth Int. Conf. Enhanc. Build. Oper. Kuwait, 2010.
6. Directive 2012/27/EU of the European Parliament and of the Council of 25 October 2012 on energy efficiency (http://www.boe.es/doue/2012/315/L00001-00056.pdf). n.d.
7. Raftery P, Keane M, O'Donnell J. Calibrating whole building energy models: An evidence-based methodology. Energy Build 2011;43:2356-64.
8. O'Flynn B, Jafer E, ͈pinar R. Development of miniaturized wireless sensor nodes suitable for building energy management and modelling. ECPPM, Irel., 2010.
9. Rafferty Paul, Marcus Keane, James O'Donnell AC. Energy Monitoring Systems value, issues and recommendations based on five case studies. Clima Conf. Antalya, Turkey, 2010, n.d.
10. Ndiaye D, Gabriel K. Principal component analysis of the electricity consumption in residential dwellings. Energy Build 2011;43:446-53.
11. Lam JC, Wan KKW, Cheung KL, Yang L. Principal component analysis of electricity use in office buildings. Energy Build 2008;40:828-36.
12. Djuric N, Novakovic V. Identifying important variables of energy use in low energy office building by using multivariate analysis. Energy Build 2012;45:91-8.
13. Ma X, Cui R, Sun Y, Peng C, Wu Z. Supervisory and Energy Management System of large public buildings. 2010 IEEE Int Conf Mechatronics Autom 2010:928-33.
14. Li S, Wen J. A model-based fault detection and diagnostic methodology based on PCA method and wavelet transform. Energy Build 2014;68:63-71.
15. Russell E, Chiang L, Braatz R. Data-driven methods for fault detection and diagnosis in chemical processes. vol. 49. 2000.
16. Nomikos P, MacGregor JF. Monitoring batch processes using multiway principal component analysis. AIChE 1994;40:1361-75.
17. Kourti T. Application of latent variable methods to process control and multivariate statistical process control in industry. Int J Adapt Control Signal Process 2005;19:213-46.
18. Berjaga X, Mel J. A Framework for Case-Based Diagnosis of Batch Processes in the Principal Components Space es 2009.