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Volumn , Issue , 2013, Pages 896-900

Cloud-based building management systems using short-term cooling load forecasting

Author keywords

Building management system; Cloud; Cooling load forecasting; Data mining; Short term prediction

Indexed keywords

AIR CONDITIONING; CLOUDS; COOLING SYSTEMS; COST REDUCTION; DATA HANDLING; DATA MINING; ENERGY UTILIZATION; FORECASTING; INTELLIGENT BUILDINGS; MAINTENANCE; SEMANTICS; THERMOELECTRIC EQUIPMENT;

EID: 84902979309     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GLOCOMW.2013.6825103     Document Type: Conference Paper
Times cited : (8)

References (13)
  • 3
    • 7444239931 scopus 로고    scopus 로고
    • European Commission Directorate General for Energy and Transport Brussels
    • European Commission Directorate General for Energy and Transport. European energy and transport trends to 2030. Brussels, 2003.
    • (2003) European Energy and Transport Trends to 2030
  • 5
    • 84872585742 scopus 로고    scopus 로고
    • An energy management system for building structures using a multi-agent decision-making control methodology
    • P. Zhao, S. Suryanarayanan, and G.G. Simoes, "An Energy Management System for Building Structures Using a Multi-Agent Decision-Making Control Methodology," IEEE Trans. on Industry Applications, vol.49, no.1, 2013, pp.322-330.
    • (2013) IEEE Trans. on Industry Applications , vol.49 , Issue.1 , pp. 322-330
    • Zhao, P.1    Suryanarayanan, S.2    Simoes, G.G.3
  • 7
    • 13844311476 scopus 로고    scopus 로고
    • Short-term load forecasting for the holidays using fuzzy linear regression method
    • K. Song, Y. Baek, D. Hong, and G. Jang, "Short-Term Load Forecasting for the Holidays Using Fuzzy Linear Regression Method," IEEE Trans. on Power Systems, vol.20, no.1, 2005, pp.96-101.
    • (2005) IEEE Trans. on Power Systems , vol.20 , Issue.1 , pp. 96-101
    • Song, K.1    Baek, Y.2    Hong, D.3    Jang, G.4
  • 8
    • 56049088473 scopus 로고    scopus 로고
    • Predicting hourly cooling load in the building: A comparison of support vector machine and different artificial neural networks
    • Q. Li, Q. Meng, J. Cai, H. Yoshino, and A. Mochida, "Predicting Hourly Cooling Load in the Building: A Comparison of Support vector Machine and Different Artificial Neural Networks," Journal of Energy Conversion and Management, vol.50, no.1, 2009, pp.90-96.
    • (2009) Journal of Energy Conversion and Management , vol.50 , Issue.1 , pp. 90-96
    • Li, Q.1    Meng, Q.2    Cai, J.3    Yoshino, H.4    Mochida, A.5
  • 13
    • 84903816539 scopus 로고    scopus 로고
    • Real-time cooling load forecasting using a hierarchical multi-class SVDD
    • J. Yu. B.B. Lee, and D.H. Park, "Real-time cooling load forecasting using a hierarchical multi-class SVDD," Journal of Multimedia Tools and Applications, vol.63, no.2, 2013, pp.1-17.
    • (2013) Journal of Multimedia Tools and Applications , vol.63 , Issue.2 , pp. 1-17
    • Yu, J.1    Lee, B.B.2    Park, D.H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.