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Volumn 50, Issue , 2015, Pages 1352-1372

A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

Author keywords

Abbreviations AI Artificial Intelligence; AIS Artificial Immune System; ANN Artificial neural network; AR Auto Regressive; ARIMA Auto Regressive Integrated Moving Average; ARMA Auto Regressive Moving Average; BP Backpropagation; DG Distributed Generation; DR Demand Response; ES Expert System; GA Genetic Algorithm; HS Hybrid System; ISO Independent System Operator; LM Levenberg Marquardt; MAE Mean Absolute Error; MAPE Mean Absolute Percent Error; MLP Multi Layer Perceptron; MR MADALINE adaptation Rule; R Correlation Coefficient; RMSE Root Mean Square Error; SB Smart Building; SG Smart Grid; SVM Support Vector Machine; TS Time Series; WNN Wavelet Neural Network

Indexed keywords

DISTRIBUTED POWER GENERATION; ELECTRIC POWER PLANT LOADS; ELECTRIC POWER TRANSMISSION NETWORKS; ENERGY EFFICIENCY; ERRORS; EXPERT SYSTEMS; FORECASTING; GENETIC ALGORITHMS; HYBRID SYSTEMS; MEAN SQUARE ERROR; NEURAL NETWORKS; SMART POWER GRIDS;

EID: 84935845022     PISSN: 13640321     EISSN: 18790690     Source Type: Journal    
DOI: 10.1016/j.rser.2015.04.065     Document Type: Review
Times cited : (778)

References (128)
  • 2
    • 0344395546 scopus 로고    scopus 로고
    • Weather sensitive method for short term load forecasting in electric power utility of Serbia
    • S. Ruzic, A. Vuckovic, and N. Nikolic Weather sensitive method for short term load forecasting in electric power utility of Serbia IEEE Trans Power Syst 18 2003 1581 1586
    • (2003) IEEE Trans Power Syst , vol.18 , pp. 1581-1586
    • Ruzic, S.1    Vuckovic, A.2    Nikolic, N.3
  • 4
    • 84877343414 scopus 로고    scopus 로고
    • Assessing tolerance-based robust short-term load forecasting in buildings
    • C.E Borges, Y.K. Penya, I. Fernández, J. Prieto, and O. Bretos Assessing tolerance-based robust short-term load forecasting in buildings Energies 6 2013 2110 2129
    • (2013) Energies , vol.6 , pp. 2110-2129
    • Borges, C.E.1    Penya, Y.K.2    Fernández, I.3    Prieto, J.4    Bretos, O.5
  • 5
    • 0027590291 scopus 로고
    • A generalized knowledge-based short-term load-forecasting technique
    • S Rahman, and O. Hazim A generalized knowledge-based short-term load-forecasting technique IEEE Trans Power Syst 8 1993 508 514
    • (1993) IEEE Trans Power Syst , vol.8 , pp. 508-514
    • Rahman, S.1    Hazim, O.2
  • 6
    • 0037505508 scopus 로고    scopus 로고
    • Short-term load forecasting via ARMA model identification including non-Gaussian process considerations
    • S.J. Huang, and K.-R. Shih Short-term load forecasting via ARMA model identification including non-Gaussian process considerations IEEE Trans Power Syst 18 2003 673 679
    • (2003) IEEE Trans Power Syst , vol.18 , pp. 673-679
    • Huang, S.J.1    Shih, K.-R.2
  • 7
    • 84866972317 scopus 로고    scopus 로고
    • A study of the relationship between weather variables and electric power demand inside a smart grid/smart world framework
    • L. Hernández, C. Baladrón, J.M. Aguiar, L. Calavia, and B. Carro A study of the relationship between weather variables and electric power demand inside a smart grid/smart world framework Sensors 12 2012 11571 11591
    • (2012) Sensors , vol.12 , pp. 11571-11591
    • Hernández, L.1    Baladrón, C.2    Aguiar, J.M.3    Calavia, L.4    Carro, B.5
  • 9
    • 0032204310 scopus 로고    scopus 로고
    • Input variable selection for ANN-based short-term load forecasting
    • I. Drezga, and S. Rahman Input variable selection for ANN-based short-term load forecasting IEEE Trans Power Syst 13 1998 1238 1244
    • (1998) IEEE Trans Power Syst , vol.13 , pp. 1238-1244
    • Drezga, I.1    Rahman, S.2
  • 11
    • 0026821995 scopus 로고
    • Short-term load forecasting using an artificial neural network
    • K. Lee, Y. Cha, and J. Park Short-term load forecasting using an artificial neural network IEEE Trans Power Syst 7 1992 124 132
    • (1992) IEEE Trans Power Syst , vol.7 , pp. 124-132
    • Lee, K.1    Cha, Y.2    Park, J.3
  • 12
    • 84884308138 scopus 로고    scopus 로고
    • Neural network based STLF model to study the seasonal impact of weather and exogenous variables
    • M.Q. Raza, Z. Baharudin, B.U. Islam, M.A. Zakariya, and M.H.M. Khir Neural network based STLF model to study the seasonal impact of weather and exogenous variables Res J Appl Sci Eng Technol 6 2013 3729 3735
    • (2013) Res J Appl Sci Eng Technol , vol.6 , pp. 3729-3735
    • Raza, M.Q.1    Baharudin, Z.2    Islam, B.U.3    Zakariya, M.A.4    Khir, M.H.M.5
  • 13
    • 84902146910 scopus 로고    scopus 로고
    • Short-term peak load forecasting: Statistical methods versus artificial neural networks
    • J Mira, R Moreno-Díaz, J Cabestany, Springer Berlin Heidelberg
    • F.J. Marín, and F. Sandoval Short-term peak load forecasting: statistical methods versus artificial neural networks J Mira, R Moreno-Díaz, J Cabestany, From neuroscience to technology biological and artificial computation 1997 Springer Berlin Heidelberg 1334 1343
    • (1997) From Neuroscience to Technology Biological and Artificial Computation , pp. 1334-1343
    • Marín, F.J.1    Sandoval, F.2
  • 15
    • 0029368511 scopus 로고
    • Analysis of an adaptive time-series autoregressive moving-average (ARMA) model for short-term load forecasting
    • J.-F. Chen, W.-M. Wang, and C.-M. Huang Analysis of an adaptive time-series autoregressive moving-average (ARMA) model for short-term load forecasting Electr Power Syst Res 34 1995 187 196
    • (1995) Electr Power Syst Res , vol.34 , pp. 187-196
    • Chen, J.-F.1    Wang, W.-M.2    Huang, C.-M.3
  • 17
    • 79960894079 scopus 로고    scopus 로고
    • Electric load forecasting based on statistical robust methods
    • Y. Chakhchoukh, P. Panciatici, and L. Mili Electric load forecasting based on statistical robust methods IEEE Trans Power Syst 26 2011 982 991
    • (2011) IEEE Trans Power Syst , vol.26 , pp. 982-991
    • Chakhchoukh, Y.1    Panciatici, P.2    Mili, L.3
  • 19
    • 0026818086 scopus 로고
    • Short term load forecasting using a multilayer neural network with an adaptive learning algorithm
    • K.-L. Ho, Y.-Y. Hsu, and C.-C. Yang Short term load forecasting using a multilayer neural network with an adaptive learning algorithm IEEE Trans Power Syst 7 1992 141 149
    • (1992) IEEE Trans Power Syst , vol.7 , pp. 141-149
    • Ho, K.-L.1    Hsu, Y.-Y.2    Yang, C.-C.3
  • 23
    • 0035120939 scopus 로고    scopus 로고
    • Toward self-healing energy infrastructure systems
    • M. Amin Toward self-healing energy infrastructure systems Comput Appl Power IEEE 14 2001 20 28
    • (2001) Comput Appl Power IEEE , vol.14 , pp. 20-28
    • Amin, M.1
  • 25
    • 84861688089 scopus 로고    scopus 로고
    • Forecasting for demand response in smart grids: An analysis on use of anthropologic and structural data and short term multiple loads forecasting
    • F. Javed, N. Arshad, F. Wallin, I. Vassileva, and E. Dahlquist Forecasting for demand response in smart grids: an analysis on use of anthropologic and structural data and short term multiple loads forecasting Appl Energy 96 2012 150 160
    • (2012) Appl Energy , vol.96 , pp. 150-160
    • Javed, F.1    Arshad, N.2    Wallin, F.3    Vassileva, I.4    Dahlquist, E.5
  • 26
    • 84867953404 scopus 로고    scopus 로고
    • Real time operation of smart grids via FCN networks and optimal power flow
    • IEEE Trans
    • P. Siano, C. Cecati, H. Yu, and J. Kolbusz Real time operation of smart grids via FCN networks and optimal power flow IEEE Trans Ind Inf 8 2012 944 952
    • (2012) Ind Inf , vol.8 , pp. 944-952
    • Siano, P.1    Cecati, C.2    Yu, H.3    Kolbusz, J.4
  • 27
    • 77952885648 scopus 로고    scopus 로고
    • Smart transmission grid applications and their supporting infrastructure
    • A. Bose Smart transmission grid applications and their supporting infrastructure IEEE Trans Smart Grid 1 2010 11 19
    • (2010) IEEE Trans Smart Grid , vol.1 , pp. 11-19
    • Bose, A.1
  • 29
    • 84872139548 scopus 로고    scopus 로고
    • A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants
    • L. Hernandez, C. Baladron, J.M. Aguiar, B. Carro, A. Sanchez-Esguevillas, and J Lloret A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants Commun Mag IEEE 51 2013 106 113
    • (2013) Commun Mag IEEE , vol.51 , pp. 106-113
    • Hernandez, L.1    Baladron, C.2    Aguiar, J.M.3    Carro, B.4    Sanchez-Esguevillas, A.5    Lloret, J.6
  • 31
    • 51249194645 scopus 로고
    • A logical calculus of the ideas immanent in nervous activity
    • W.S. McCulloch, and W. Pitts A logical calculus of the ideas immanent in nervous activity Bull Math Biophys 5 1943 115 133
    • (1943) Bull Math Biophys , vol.5 , pp. 115-133
    • McCulloch, W.S.1    Pitts, W.2
  • 34
    • 85151938103 scopus 로고
    • RL generalizationof learninginamachine
    • preprints of papers presented at the 14th national meeting of the association for computing machinery
    • RL generalizationof learninginamachine. ACM annual conference/annual meeting: preprints of papers presented at the 14th national meeting of the association for computing machinery; 1959, p. 1.
    • (1959) ACM Annual Conference/annual Meeting , pp. 1
  • 36
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • J.J. Hopfield Neural networks and physical systems with emergent collective computational abilities Proc Natl Acad Sci 79 1982 2554 2558
    • (1982) Proc Natl Acad Sci , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 37
    • 0023982347 scopus 로고
    • Neural nets for adaptive filtering and adaptive pattern recognition
    • B. Widrow, and R. Winter Neural nets for adaptive filtering and adaptive pattern recognition Computer 21 1988 25 39
    • (1988) Computer , vol.21 , pp. 25-39
    • Widrow, B.1    Winter, R.2
  • 38
    • 58149409989 scopus 로고
    • An interactive activation model of context effects in letter perception: I. An account of basic findings
    • J.L. McClelland, and D.E. Rumelhart An interactive activation model of context effects in letter perception: I. An account of basic findings Psychol Rev 88 1986 375
    • (1986) Psychol Rev , vol.88 , pp. 375
    • McClelland, J.L.1    Rumelhart, D.E.2
  • 39
    • 0023515080 scopus 로고
    • Counterpropagation networks
    • R. Hecht-Nielsen Counterpropagation networks Appl Opt 26 1987 4979 4984
    • (1987) Appl Opt , vol.26 , pp. 4979-4984
    • Hecht-Nielsen, R.1
  • 40
    • 0024092072 scopus 로고
    • Cellular neural networks: Applications
    • L.O. Chua, and L. Yang Cellular neural networks: applications IEEE Trans Circuits Syst 35 1988 1273 1290
    • (1988) IEEE Trans Circuits Syst , vol.35 , pp. 1273-1290
    • Chua, L.O.1    Yang, L.2
  • 43
    • 0003123930 scopus 로고    scopus 로고
    • Forecasting with artificial neural networks: The state of the art
    • G. Zhang, B.Y. Eddy Patuwo, and M. Hu Forecasting with artificial neural networks: the state of the art Int J Forecast 14 1998 35 62
    • (1998) Int J Forecast , vol.14 , pp. 35-62
    • Zhang, G.1    Eddy Patuwo, B.Y.2    Hu, M.3
  • 44
    • 47149095417 scopus 로고    scopus 로고
    • Artificial intelligence techniques for photovoltaic applications: A review
    • A. Mellit, and S.A. Kalogirou Artificial intelligence techniques for photovoltaic applications: a review Prog Energy Combust Sci 34 2008 574 632
    • (2008) Prog Energy Combust Sci , vol.34 , pp. 574-632
    • Mellit, A.1    Kalogirou, S.A.2
  • 47
    • 3242790841 scopus 로고    scopus 로고
    • Short-term electric power load forecasting using feedforward neural networks
    • H.A. Malki, N.B. Karayiannis, and M. Balasubramanian Short-term electric power load forecasting using feedforward neural networks Exp Syst 21 2004 157 167
    • (2004) Exp Syst , vol.21 , pp. 157-167
    • Malki, H.A.1    Karayiannis, N.B.2    Balasubramanian, M.3
  • 48
    • 67349154089 scopus 로고    scopus 로고
    • Electric load forecasting methods: Tools for decision making
    • H. Hahn, S. Meyer-Nieberg, and S. Pickl Electric load forecasting methods: tools for decision making Eur J Oper Res 199 2009 902 907
    • (2009) Eur J Oper Res , vol.199 , pp. 902-907
    • Hahn, H.1    Meyer-Nieberg, S.2    Pickl, S.3
  • 49
    • 78651449220 scopus 로고    scopus 로고
    • Development of models for short-term load forecasting using artificial neural networks
    • Cape Peninsula University of Technology
    • Amakali S. Development of models for short-term load forecasting using artificial neural networks. CPUT Theses & Dissertations: Cape Peninsula University of Technology; 2008.
    • (2008) CPUT Theses & Dissertations
    • Amakali, S.1
  • 50
    • 24144498645 scopus 로고    scopus 로고
    • A parallel growing architecture for self-organizing maps with unsupervised learning
    • I. Valova, D. Szer, N. Gueorguieva, and A. Buer A parallel growing architecture for self-organizing maps with unsupervised learning Neurocomputing 68 2005 177 195
    • (2005) Neurocomputing , vol.68 , pp. 177-195
    • Valova, I.1    Szer, D.2    Gueorguieva, N.3    Buer, A.4
  • 52
    • 13244250818 scopus 로고    scopus 로고
    • Short-term power load forecasting by neural network with stochastic back-propagation learning algorithm
    • Hwang R-C, Huang H-C, Hsieh J-G. Short-term power load forecasting by neural network with stochastic back-propagation learning algorithm. In: IEEE power engineering society winter meeting: IEEE; 2000. p. 1790-5.
    • (2000) IEEE Power Engineering Society Winter Meeting: IEEE , pp. 1790-1795
    • Hwang, R.-C.1    Huang, H.-C.2    Hsieh, J.-G.3
  • 53
    • 0034057701 scopus 로고    scopus 로고
    • Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting
    • R. Law Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting Tour Manag 21 2000 331 340
    • (2000) Tour Manag , vol.21 , pp. 331-340
    • Law, R.1
  • 54
    • 0026219227 scopus 로고
    • The complex backpropagation algorithm
    • H. Leung, and S. Haykin The complex backpropagation algorithm IEEE Trans Signal Process 39 1991 2101 2104
    • (1991) IEEE Trans Signal Process , vol.39 , pp. 2101-2104
    • Leung, H.1    Haykin, S.2
  • 55
    • 0026745182 scopus 로고
    • On the problem of local minima in backpropagation
    • M. Gori, and A. Tesi On the problem of local minima in backpropagation IEEE Trans Pattern Anal Mach Intell 14 1992 76 86
    • (1992) IEEE Trans Pattern Anal Mach Intell , vol.14 , pp. 76-86
    • Gori, M.1    Tesi, A.2
  • 56
    • 0344236266 scopus 로고    scopus 로고
    • Metaheuristics in combinatorial optimization: Overview and conceptual comparison
    • C. Blum, and A. Roli Metaheuristics in combinatorial optimization: overview and conceptual comparison ACM Comput Surv (CSUR) 35 2003 268 308
    • (2003) ACM Comput Surv (CSUR) , vol.35 , pp. 268-308
    • Blum, C.1    Roli, A.2
  • 60
    • 2442535151 scopus 로고    scopus 로고
    • Survey of multi-objective optimization methods for engineering
    • R.T. Marler, and J.S. Arora Survey of multi-objective optimization methods for engineering Struct Multidiscip Optim 26 2004 369 395
    • (2004) Struct Multidiscip Optim , vol.26 , pp. 369-395
    • Marler, R.T.1    Arora, J.S.2
  • 61
    • 84902279020 scopus 로고    scopus 로고
    • Microgrids in active network management - Part I: Hierarchical control, energy storage, virtual power plants, and market participation
    • O. Palizban, K. Kauhaniemi, and J.M. Guerrero Microgrids in active network management - Part I: hierarchical control, energy storage, virtual power plants, and market participation Renew Sustain Energy Rev 36 2014 428 439
    • (2014) Renew Sustain Energy Rev , vol.36 , pp. 428-439
    • Palizban, O.1    Kauhaniemi, K.2    Guerrero, J.M.3
  • 62
    • 84876721542 scopus 로고    scopus 로고
    • AC-microgrids versus DC-microgrids with distributed energy resources: A review
    • J.J. Justo, F. Mwasilu, J. Lee, and J.-W. Jung AC-microgrids versus DC-microgrids with distributed energy resources: a review Renew Sustain Energy Rev 24 2013 387 405
    • (2013) Renew Sustain Energy Rev , vol.24 , pp. 387-405
    • Justo, J.J.1    Mwasilu, F.2    Lee, J.3    Jung, J.-W.4
  • 66
    • 84859832416 scopus 로고    scopus 로고
    • A multi-agent approach to short term load forecasting problem, international journal of intelligent control and systems
    • A. Azzam Ul, S.R. ul Hassnain, and A.U Khattack A multi-agent approach to short term load forecasting problem, international journal of intelligent control and systems Int J Intell Control Syst 10 2005 52 59
    • (2005) Int J Intell Control Syst , vol.10 , pp. 52-59
    • Azzam Ul, A.1    Ul Hassnain, S.R.2    Khattack, A.U.3
  • 70
    • 13844320123 scopus 로고    scopus 로고
    • Next day load curve forecasting using hybrid correction method
    • T. Senjyu, P. Mandal, K. Uezato, and T. Funabashi Next day load curve forecasting using hybrid correction method IEEE Trans Power Syst 20 2005 102 109
    • (2005) IEEE Trans Power Syst , vol.20 , pp. 102-109
    • Senjyu, T.1    Mandal, P.2    Uezato, K.3    Funabashi, T.4
  • 71
    • 0036872787 scopus 로고    scopus 로고
    • A neuro-fuzzy approach to short-term load forecasting in a price-sensitive environment
    • A. Khotanzad, E. Zhou, and H. Elragal A neuro-fuzzy approach to short-term load forecasting in a price-sensitive environment IEEE Trans Power Syst 17 2002 1273 1282
    • (2002) IEEE Trans Power Syst , vol.17 , pp. 1273-1282
    • Khotanzad, A.1    Zhou, E.2    Elragal, H.3
  • 72
    • 84938911426 scopus 로고    scopus 로고
    • Load forecasting model based on amendment of mamdani fuzzy system
    • networking and mobile computing, WiCom'09: IEEE
    • Yang K, Zhao L. Load forecasting model based on amendment of mamdani fuzzy system. In: Proceedings of 5th international conference on wireless communications, networking and mobile computing, WiCom'09: IEEE; 2009. p. 1-4.
    • (2009) Proceedings of 5th International Conference on Wireless Communications , pp. 1-4
    • Yang, K.1    Zhao, L.2
  • 74
    • 84860245764 scopus 로고    scopus 로고
    • Holiday load forecasting using fuzzy polynomial regression with weather feature selection and adjustment
    • Y.-M. Wi, S.-K. Joo, and K.-B. Song Holiday load forecasting using fuzzy polynomial regression with weather feature selection and adjustment IEEE Trans Power Syst 27 2012 596 603
    • (2012) IEEE Trans Power Syst , vol.27 , pp. 596-603
    • Wi, Y.-M.1    Joo, S.-K.2    Song, K.-B.3
  • 75
    • 85152042912 scopus 로고    scopus 로고
    • Hwang K-J, Kim G-W. A short-term load forecasting expert system. In: Proceedings of Russian-Korean international symposium on science and technology; 2001.
    • Hwang K-J, Kim G-W. A short-term load forecasting expert system. In: Proceedings of Russian-Korean international symposium on science and technology; 2001.
  • 77
    • 84875178534 scopus 로고    scopus 로고
    • Short term load forecasting technique based on the seasonal exponential adjustment method and the regression model
    • J. Wu, J. Wang, H. Lu, Y. Dong, and X. Lu Short term load forecasting technique based on the seasonal exponential adjustment method and the regression model Energy Convers Manag 70 2013 1 9
    • (2013) Energy Convers Manag , vol.70 , pp. 1-9
    • Wu, J.1    Wang, J.2    Lu, H.3    Dong, Y.4    Lu, X.5
  • 79
    • 0038697630 scopus 로고    scopus 로고
    • Short-term load forecasting with a hybrid clustering algorithm
    • A. Sfetsos Short-term load forecasting with a hybrid clustering algorithm IEE Proc-Gener Transmission Distrib 150 2003 257 262
    • (2003) IEE Proc-Gener Transmission Distrib , vol.150 , pp. 257-262
    • Sfetsos, A.1
  • 80
    • 55549105393 scopus 로고    scopus 로고
    • Short-term load forecasting using generalized regression and probabilistic neural networks in the electricity market
    • M. Tripathi, K. Upadhyay, and S. Singh Short-term load forecasting using generalized regression and probabilistic neural networks in the electricity market Electr J 21 2008 24 34
    • (2008) Electr J , vol.21 , pp. 24-34
    • Tripathi, M.1    Upadhyay, K.2    Singh, S.3
  • 83
    • 84886097484 scopus 로고    scopus 로고
    • Short-term load forecasting: The similar shape functional time-series predictor
    • E Paparoditis, and T. Sapatinas Short-term load forecasting: the similar shape functional time-series predictor IEEE Trans Power Syst 2013 1 8
    • (2013) IEEE Trans Power Syst , pp. 1-8
    • Paparoditis, E.1    Sapatinas, T.2
  • 85
    • 0035425552 scopus 로고    scopus 로고
    • Short-term hourly load forecasting using time-series modeling with peak load estimation capability
    • N. Amjady Short-term hourly load forecasting using time-series modeling with peak load estimation capability IEEE Trans Power Syst 16 2001 498 505
    • (2001) IEEE Trans Power Syst , vol.16 , pp. 498-505
    • Amjady, N.1
  • 86
    • 24944485152 scopus 로고    scopus 로고
    • Short-term load forecasting, profile identification, and customer segmentation: A methodology based on periodic time series
    • M. Espinoza, C. Joye, R. Belmans, and B. DeMoor Short-term load forecasting, profile identification, and customer segmentation: a methodology based on periodic time series IEEE Trans Power Syst 20 2005 1622 1630
    • (2005) IEEE Trans Power Syst , vol.20 , pp. 1622-1630
    • Espinoza, M.1    Joye, C.2    Belmans, R.3    Demoor, B.4
  • 87
    • 9244240793 scopus 로고    scopus 로고
    • Load forecasting using support vector machines: A study on EUNITE competition 2001
    • B.-J. Chen, and M.-W. Chang Load forecasting using support vector machines: a study on EUNITE competition 2001 IEEE Trans Power Syst 19 2004 1821 1830
    • (2004) IEEE Trans Power Syst , vol.19 , pp. 1821-1830
    • Chen, B.-J.1    Chang, M.-W.2
  • 88
    • 84862777006 scopus 로고    scopus 로고
    • An annual load forecasting model based on support vector regression with differential evolution algorithm
    • J. Wang, L. Li, D. Niu, and Z. Tan An annual load forecasting model based on support vector regression with differential evolution algorithm ApplEnergy 94 2012 65 70
    • (2012) ApplEnergy , vol.94 , pp. 65-70
    • Wang, J.1    Li, L.2    Niu, D.3    Tan, Z.4
  • 89
    • 70449525203 scopus 로고    scopus 로고
    • Power load forecasting using support vector machine and ant colony optimization
    • D. Niu, Y. Wang, and D.D. Wu Power load forecasting using support vector machine and ant colony optimization Exp Syst Appl 37 2010 2531 2539
    • (2010) Exp Syst Appl , vol.37 , pp. 2531-2539
    • Niu, D.1    Wang, Y.2    Wu, D.D.3
  • 91
    • 48249105942 scopus 로고    scopus 로고
    • Artificial immune system for short-term electric load forecasting
    • 2008, ed: Springer
    • Dudek G, Artificial immune system for short-term electric load forecasting, in Artificial Intelligence and Soft Computing-ICAISC 2008, ed: Springer, 2008, pp. 1007-1017.
    • (2008) Artificial Intelligence and Soft Computing-ICAISC , pp. 1007-1017
    • Dudek, G.1
  • 93
    • 0346686154 scopus 로고    scopus 로고
    • Short-term electric load forecasting based on a neural fuzzy network
    • S. Ling, F.H. Leung, H. Lam, and P.K. Tam Short-term electric load forecasting based on a neural fuzzy network IEEE Trans Ind Electron 50 2003 1305 1316
    • (2003) IEEE Trans Ind Electron , vol.50 , pp. 1305-1316
    • Ling, S.1    Leung, F.H.2    Lam, H.3    Tam, P.K.4
  • 96
    • 0036756215 scopus 로고    scopus 로고
    • Artificial neural network based peak load forecasting using Levenberg-Marquardt and quasi-Newton methods
    • L Saini, and M. Soni Artificial neural network based peak load forecasting using Levenberg-Marquardt and quasi-Newton methods IEE Proc Gener Transmission Distrib 149 2002 578 584
    • (2002) IEE Proc Gener Transmission Distrib , vol.149 , pp. 578-584
    • Saini, L.1    Soni, M.2
  • 98
    • 0008680770 scopus 로고
    • Generalized linear models
    • P. McCullagh Generalized linear models Eur J Oper Res 16 1984 285 292
    • (1984) Eur J Oper Res , vol.16 , pp. 285-292
    • McCullagh, P.1
  • 100
    • 0032183270 scopus 로고    scopus 로고
    • A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability
    • H. Chen, and F. Allgöwer A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability Automatica 34 1998 1205 1217
    • (1998) Automatica , vol.34 , pp. 1205-1217
    • Chen, H.1    Allgöwer, F.2
  • 101
    • 4243187319 scopus 로고
    • Statistical mechanics of a nonlinear model for DNA denaturation
    • M. Peyrard, and A. Bishop Statistical mechanics of a nonlinear model for DNA denaturation Phys Rev Lett 62 1989 2755 2758
    • (1989) Phys Rev Lett , vol.62 , pp. 2755-2758
    • Peyrard, M.1    Bishop, A.2
  • 102
    • 13844311476 scopus 로고    scopus 로고
    • Short-term load forecasting for the holidays using fuzzy linear regression method
    • K.-B. Song, Y.-S. Baek, D.H. Hong, and G. Jang Short-term load forecasting for the holidays using fuzzy linear regression method IEEE Trans Power Syst 20 2005 96 101
    • (2005) IEEE Trans Power Syst , vol.20 , pp. 96-101
    • Song, K.-B.1    Baek, Y.-S.2    Hong, D.H.3    Jang, G.4
  • 103
    • 0034186817 scopus 로고    scopus 로고
    • Short-term load forecasting for special days in anomalous load conditions using neural networks and fuzzy inference method
    • K.-H. Kim, H.-S. Youn, and Y.-C. Kang Short-term load forecasting for special days in anomalous load conditions using neural networks and fuzzy inference method IEEE Trans Power Syst 15 2000 559 565
    • (2000) IEEE Trans Power Syst , vol.15 , pp. 559-565
    • Kim, K.-H.1    Youn, H.-S.2    Kang, Y.-C.3
  • 104
    • 84860245764 scopus 로고    scopus 로고
    • Holiday load forecasting using fuzzy polynomial regression with weather feature selection and adjustment
    • Y.-M. Wi, S.-K. Joo, and K.-B. Song Holiday load forecasting using fuzzy polynomial regression with weather feature selection and adjustment IEEE Trans Power Syst 27 2012 596 603
    • (2012) IEEE Trans Power Syst , vol.27 , pp. 596-603
    • Wi, Y.-M.1    Joo, S.-K.2    Song, K.-B.3
  • 105
    • 84876358609 scopus 로고    scopus 로고
    • A new cascade NN based method to short-term load forecast in deregulated electricity market
    • S. Kouhi, and F. Keynia A new cascade NN based method to short-term load forecast in deregulated electricity market Energy Convers Manag 71 2013 76 83
    • (2013) Energy Convers Manag , vol.71 , pp. 76-83
    • Kouhi, S.1    Keynia, F.2
  • 107
    • 84891616845 scopus 로고    scopus 로고
    • Hybrid PSO-SVM method for short-term load forecasting during periods with significant temperature variations in city of Burbank
    • A. Selakov, D. Cvijetinović, L. Milović, S. Mellon, and D. Bekut Hybrid PSO-SVM method for short-term load forecasting during periods with significant temperature variations in city of Burbank Appl Soft Comput 16 2014 80 88
    • (2014) Appl Soft Comput , vol.16 , pp. 80-88
    • Selakov, A.1    Cvijetinović, D.2    Milović, L.3    Mellon, S.4    Bekut, D.5
  • 110
    • 84872956786 scopus 로고    scopus 로고
    • Very short-term load forecasting: Wavelet neural networks with data pre-filtering
    • C. Guan, P.B. Luh, L.D. Michel, Y. Wang, and P.B. Friedland Very short-term load forecasting: wavelet neural networks with data pre-filtering IEEE Trans Power Syst 28 2013 30 41
    • (2013) IEEE Trans Power Syst , vol.28 , pp. 30-41
    • Guan, C.1    Luh, P.B.2    Michel, L.D.3    Wang, Y.4    Friedland, P.B.5
  • 111
    • 60149107687 scopus 로고    scopus 로고
    • Applying wavelets to short-term load forecasting using PSO-based neural networks
    • Z. Bashir, and M. El-Hawary Applying wavelets to short-term load forecasting using PSO-based neural networks IEEE Trans Power Syst 24 2009 20 27
    • (2009) IEEE Trans Power Syst , vol.24 , pp. 20-27
    • Bashir, Z.1    El-Hawary, M.2
  • 112
    • 57449087638 scopus 로고    scopus 로고
    • Short-term load forecasting of power systems by combination of wavelet transform and neuro-evolutionary algorithm
    • N. Amjady, and F. Keynia Short-term load forecasting of power systems by combination of wavelet transform and neuro-evolutionary algorithm Energy 34 2009 46 57
    • (2009) Energy , vol.34 , pp. 46-57
    • Amjady, N.1    Keynia, F.2
  • 113
    • 33645971626 scopus 로고    scopus 로고
    • Short-term load forecasting with increment regression tree
    • J. Yang, and J. Stenzel Short-term load forecasting with increment regression tree Electr Power Syst Res 76 2006 880 888
    • (2006) Electr Power Syst Res , vol.76 , pp. 880-888
    • Yang, J.1    Stenzel, J.2
  • 117
    • 41949101419 scopus 로고    scopus 로고
    • Peak load forecasting using Bayesian regularization, Resilient and adaptive backpropagation learning based artificial neural networks
    • L.M. Saini Peak load forecasting using Bayesian regularization, Resilient and adaptive backpropagation learning based artificial neural networks Electr Power Syst Res 78 2008 1302 1310
    • (2008) Electr Power Syst Res , vol.78 , pp. 1302-1310
    • Saini, L.M.1
  • 118
    • 34249299065 scopus 로고    scopus 로고
    • Short-term electricity prices forecasting in a competitive market: A neural network approach
    • J. Catalão, S. Mariano, V. Mendes, and L. Ferreira Short-term electricity prices forecasting in a competitive market: a neural network approach Electr Power Syst Res 77 2007 1297 1304
    • (2007) Electr Power Syst Res , vol.77 , pp. 1297-1304
    • Catalão, J.1    Mariano, S.2    Mendes, V.3    Ferreira, L.4
  • 119
    • 33947319336 scopus 로고    scopus 로고
    • Short-term bus load forecasting of power systems by a new hybrid method
    • N. Amjady Short-term bus load forecasting of power systems by a new hybrid method IEEE Trans on Power Syst 22 2007 333 341
    • (2007) IEEE Trans on Power Syst , vol.22 , pp. 333-341
    • Amjady, N.1
  • 120
    • 18144394762 scopus 로고    scopus 로고
    • Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms
    • P.-F. Pai, and W.-C. Hong Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms Electr Power Syst Res 74 2005 417 425
    • (2005) Electr Power Syst Res , vol.74 , pp. 417-425
    • Pai, P.-F.1    Hong, W.-C.2
  • 121
    • 77957729759 scopus 로고    scopus 로고
    • Short term load forecasting using multi parameter regression
    • M. Rothe, D.A. Wadhwani, and D. Wadhwani Short term load forecasting using multi parameter regression Int J Comput Sci Inf Secur 6 2009 303 306
    • (2009) Int J Comput Sci Inf Secur , vol.6 , pp. 303-306
    • Rothe, M.1    Wadhwani, D.A.2    Wadhwani, D.3
  • 122
    • 84862858496 scopus 로고    scopus 로고
    • Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm
    • S. Mirjalili, S.Z. Mohd Hashim, and H. Moradian Sardroudi Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm Appl Math Comput 218 2012 11125 11137
    • (2012) Appl Math Comput , vol.218 , pp. 11125-11137
    • Mirjalili, S.1    Mohd Hashim, S.Z.2    Moradian Sardroudi, H.3
  • 123
    • 67650269871 scopus 로고    scopus 로고
    • How many hidden layers and nodes?
    • D. Stathakis How many hidden layers and nodes? Int J Rem Sens 30 2009 2133 2147
    • (2009) Int J Rem Sens , vol.30 , pp. 2133-2147
    • Stathakis, D.1
  • 127
    • 85151919814 scopus 로고    scopus 로고
    • U.S. Energy Information Administration, Monthly energy review; February 2014.
    • U.S. Energy Information Administration, Monthly energy review; February 2014.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.