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Volumn , Issue , 2014, Pages 721-729

Accurate and efficient selection of the best consumption prediction method in smart grids

Author keywords

Consumption prediction method; Neural network; Smart grid

Indexed keywords

ELECTRIC POWER TRANSMISSION NETWORKS; ENERGY UTILIZATION; FORECASTING; SALES;

EID: 84921714112     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BigData.2014.7004296     Document Type: Conference Paper
Times cited : (21)

References (36)
  • 1
    • 84883299352 scopus 로고    scopus 로고
    • Mpc-based appliance scheduling for residential building energy management controller
    • Sept
    • C. Chen, J. Wang, Y. Heo, and S. Kishore, "Mpc-based appliance scheduling for residential building energy management controller," Smart Grid, IEEE Transactions on, Vol. 4, no. 3 pp. 1401-1410, Sept 2013.
    • (2013) Smart Grid, IEEE Transactions on , vol.4 , Issue.3 , pp. 1401-1410
    • Chen, C.1    Wang, J.2    Heo, Y.3    Kishore, S.4
  • 2
    • 84916604438 scopus 로고    scopus 로고
    • Empirical comparison of prediction methods for electricity consumption forecasting
    • Tech. Rep. 14-942, uRL
    • S. Aman, M. Frincu, C. Charalampos, U. Noor, Y. Simmhan and V. Prasanna, "Empirical comparison of prediction methods for electricity consumption forecasting," University of Southern California, Tech. Rep. 14-942, 2014, uRL: http://www.cs.usc.edu/assets/007/89887.pdf (accessed Mar 6 2014).
    • (2014) University of Southern California
    • Aman, S.1    Frincu, M.2    Charalampos, C.3    Noor, U.4    Simmhan, Y.5    Prasanna, V.6
  • 3
    • 0032071803 scopus 로고    scopus 로고
    • Direct load control-A profit-based load management using linear programming
    • May
    • K.-H. Ng and G. Sheble, "Direct load control-A profit-based load management using linear programming," Power Systems IEEE Transactions on, Vol. 13, no. 2, pp. 688-694, May 1998.
    • (1998) Power Systems IEEE Transactions on , vol.13 , Issue.2 , pp. 688-694
    • Ng, K.-H.1    Sheble, G.2
  • 4
    • 77952888003 scopus 로고    scopus 로고
    • Demand response as a market resource under the smart grid paradigm
    • F. Rahimi and A. Ipakchi, "Demand response as a market resource under the smart grid paradigm," Smart Grid, IEEE Transactions on, Vol. 1, no. 1, pp. 82-88, 2010.
    • (2010) Smart Grid, IEEE Transactions on , vol.1 , Issue.1 , pp. 82-88
    • Rahimi, F.1    Ipakchi, A.2
  • 6
    • 0036275409 scopus 로고    scopus 로고
    • Electric load forecasting: Literature survey and classification of methods
    • H. K. Alfares and M. Nazeeruddin, "Electric load forecasting: Literature survey and classification of methods," International Journal of Systems Science, Vol. 33, no. 1, 2002.
    • (2002) International Journal of Systems Science , vol.33 , Issue.1
    • Alfares, H.K.1    Nazeeruddin, M.2
  • 9
    • 84921767184 scopus 로고    scopus 로고
    • Tech. Rep., uRL: (accessed Nov 23, 2013) CaliforniaISO
    • CaliforniaISO, "Caiso Demand response resource user guide," Tech. Rep., 2007, uRL: http://www.caiso.com/1ca6/1ca67a5816ee0.pdf (accessed Nov 23, 2013).
    • (2007) Caiso Demand Response Resource User Guide
  • 10
    • 84916604059 scopus 로고    scopus 로고
    • 10 Day average baseline and Day-off" adjustment
    • SouthernCaliforniaEdison, "10 Day average baseline and "day-off" adjustment," Tech. Rep., 2011.
    • (2011) Tech. Rep
  • 13
  • 15
    • 9244240793 scopus 로고    scopus 로고
    • Load forecasting using Support Vector Machines: A study on EUNITE competition 2001
    • B.-J. Chen, M.-W. Chang, and C.-J. Lin, "Load forecasting using Support Vector Machines: A study on EUNITE competition 2001," IEEE Transactions on Power Systems, Vol. 19 no. 4, pp. 1821-1830, 2004.
    • (2004) IEEE Transactions on Power Systems , vol.19 , Issue.4 , pp. 1821-1830
    • Chen, B.-J.1    Chang, M.-W.2    Lin, C.-J.3
  • 17
    • 78249263335 scopus 로고    scopus 로고
    • Short-term load forecasting in power system using least squares support Vector machine
    • Springer
    • L. Ganyun, X. Wang, and Y. Jin, "Short-term load forecasting in power system using least squares support Vector machine," in Computational Intelligence, Theory and Applications. Springer, 2006, pp. 117-126.
    • (2006) Computational Intelligence, Theory and Applications , pp. 117-126
    • Ganyun, L.1    Wang, X.2    Jin, Y.3
  • 19
    • 84856253869 scopus 로고    scopus 로고
    • Short-term load forecasting based on a semi-parametric additive model
    • S. Fan and R. Hyndman, "Short-term load forecasting based on a semi-parametric additive model," IEEE Transactions on Power Systems, Vol. 27, no. 1, 2012.
    • (2012) IEEE Transactions on Power Systems , vol.27 , Issue.1
    • Fan, S.1    Hyndman, R.2
  • 20
    • 85032751153 scopus 로고    scopus 로고
    • Load/price forecasting and managing Demand response for smart grids: Methodologies and challenges
    • S. Chan, K. M. Tsui, H. C. Wu, Y. Hou, Y.-C. Wu, and F. Wu "Load/price forecasting and managing Demand response for smart grids: Methodologies and challenges," Signal Processing Magazine, IEEE, Vol. 29, no. 5, pp. 68-85, 2012.
    • (2012) Signal Processing Magazine, IEEE , vol.29 , Issue.5 , pp. 68-85
    • Chan, S.1    Tsui, K.M.2    Wu, H.C.3    Hou, Y.4    Wu, Y.-C.5    Wu, F.6
  • 21
    • 0023399522 scopus 로고
    • The time series approach to short term load forecasting
    • M. Hagan and S. M. Behr, "The time series approach to short term load forecasting," IEEE Transactions on Power Systems Vol. 2, no. 3, 1987.
    • (1987) IEEE Transactions on Power Systems , vol.2 , Issue.3
    • Hagan, M.1    Behr, S.M.2
  • 22
    • 0035425552 scopus 로고    scopus 로고
    • Short-term hourly load forecasting using timeseries modeling with peak load estimation capability
    • N. Amjady, "Short-term hourly load forecasting using timeseries modeling with peak load estimation capability," IEEE Transactions on Power Systems, 2001.
    • (2001) IEEE Transactions on Power Systems
    • Amjady, N.1
  • 23
    • 31744444183 scopus 로고    scopus 로고
    • A comparison of univariate methods for forecasting electricity Demand up to a Day ahead
    • J. W. Taylor, L. M. De Menezes, and P. E. McSharry, "A comparison of univariate methods for forecasting electricity Demand up to a Day ahead," International Journal of Forecasting Vol. 22, pp. 1-16, 2006.
    • (2006) International Journal of Forecasting , vol.22 , pp. 1-16
    • Taylor, J.W.1    De Menezes, L.M.2    McSharry, P.E.3
  • 25
    • 84861117530 scopus 로고    scopus 로고
    • Putting the 'smarts' into the smart grid: A grand challenge for artificial intelligence
    • S. D. Ramchurn, P. Vytelingum, A. Rogers, and N. R. Jennings, "Putting the 'Smarts' Into the Smart Grid: A Grand Challenge for Artificial Intelligence," Communications of the ACM, Vol. 55, no. 4, 2012.
    • (2012) Communications of the ACM , vol.55 , Issue.4
    • Ramchurn, S.D.1    Vytelingum, P.2    Rogers, A.3    Jennings, N.R.4
  • 26
    • 0037409059 scopus 로고    scopus 로고
    • Artificial intelligence in short term electric load forecasting: A state-of-The-Art survey for the researcher
    • K. Metaxiotis, A. Kagiannas, D. Askounis, and J. Psarras "Artificial intelligence in short term electric load forecasting: A state-of-The-Art survey for the researcher," Energy Conversion and Management, Vol. 44, no. 9, 2003.
    • (2003) Energy Conversion and Management , vol.44 , Issue.9
    • Metaxiotis, K.1    Kagiannas, A.2    Askounis, D.3    Psarras, J.4
  • 27
    • 0035248045 scopus 로고    scopus 로고
    • Neural networks for short-term load forecasting: A review and evaluation
    • H. Hippert, C. Pedreira, and R. Souza, "Neural networks for short-term load forecasting: A review and evaluation," IEEE Transactions on Power Systems, Vol. 16, no. 1, 2001.
    • (2001) IEEE Transactions on Power Systems , vol.16 , Issue.1
    • Hippert, H.1    Pedreira, C.2    Souza, R.3
  • 33
    • 20344388265 scopus 로고    scopus 로고
    • A hybrid arima and support Vector machines model in stock price forecasting
    • December
    • P.-F. Pai and C.-S. Lin, "A hybrid arima and support Vector machines model in stock price forecasting," Omega, Vol. 33 no. 6, pp. 497-505, December 2005. [Online]. Available: http://ideas.repec.org/a/eee/jomega/v33y2005i6p497-505.html
    • (2005) Omega , vol.33 , Issue.6 , pp. 497-505
    • Pai, P.-F.1    Lin, C.-S.2
  • 34
    • 0035339792 scopus 로고    scopus 로고
    • A semiparametric approach to short-term oil price forecasting
    • May
    • C. Morana, "A semiparametric approach to short-term oil price forecasting," Energy Economics, Vol. 23 no. 3, pp. 325-338, May 2001. [Online]. Available: http://ideas.repec.org/a/eee/eneeco/v23y2001i3p325-338.html
    • (2001) Energy Economics , vol.23 , Issue.3 , pp. 325-338
    • Morana, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.