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Volumn 56, Issue , 2016, Pages 215-225

Big data driven smart energy management: From big data to big insights

Author keywords

Big data analytics; Demand side management (DSM); Energy big data; Smart energy management; Smart grid

Indexed keywords

BIG DATA; DATA INTEGRATION; DEMAND SIDE MANAGEMENT; DISTRIBUTED COMPUTER SYSTEMS; ELECTRIC POWER TRANSMISSION NETWORKS; ELECTRIC UTILITIES; INFORMATION MANAGEMENT; SMART POWER GRIDS;

EID: 84949494790     PISSN: 13640321     EISSN: 18790690     Source Type: Journal    
DOI: 10.1016/j.rser.2015.11.050     Document Type: Review
Times cited : (616)

References (157)
  • 2
    • 83455179027 scopus 로고    scopus 로고
    • Are you ready for the era of 'big data'
    • B. Brown, M. Chui, and J. Manyika Are you ready for the era of 'big data' McKinsey Q 4 2011 24 35
    • (2011) McKinsey Q , vol.4 , pp. 24-35
    • Brown, B.1    Chui, M.2    Manyika, J.3
  • 3
    • 84930945075 scopus 로고    scopus 로고
    • A framework of service-oriented operation model of China s power system
    • K. Zhou, and S. Yang A framework of service-oriented operation model of China s power system Renew Sustain Energy Rev 50 2015 719 725
    • (2015) Renew Sustain Energy Rev , vol.50 , pp. 719-725
    • Zhou, K.1    Yang, S.2
  • 4
    • 85151990214 scopus 로고    scopus 로고
    • IBM. Smart grid
    • IBM. Smart grid. (http://www.ibm.com/smarterplanet/cn/zh/smart-grid/ideas/?re=sph); 2014.
    • (2014)
  • 8
    • 84921950714 scopus 로고    scopus 로고
    • Energy conservation and emission reduction of China's electric power industry
    • K. Zhou, S. Yang, C. Shen, S. Ding, and C. Sun Energy conservation and emission reduction of China's electric power industry Renew Sustain Energy Rev 45 2015 10 19
    • (2015) Renew Sustain Energy Rev , vol.45 , pp. 10-19
    • Zhou, K.1    Yang, S.2    Shen, C.3    Ding, S.4    Sun, C.5
  • 9
    • 75849154508 scopus 로고    scopus 로고
    • Modeling and prioritizing demand response programs in power markets
    • H. Aalami, M.P. Moghaddam, and G. Yousefi Modeling and prioritizing demand response programs in power markets Electr Power Syst Res 80 2010 426 435
    • (2010) Electr Power Syst Res , vol.80 , pp. 426-435
    • Aalami, H.1    Moghaddam, M.P.2    Yousefi, G.3
  • 10
    • 73649137161 scopus 로고    scopus 로고
    • The path of the smart grid
    • H. Farhangi The path of the smart grid Power Energy Mag IEEE 8 2010 18 28
    • (2010) Power Energy Mag IEEE , vol.8 , pp. 18-28
    • Farhangi, H.1
  • 11
    • 27744595750 scopus 로고    scopus 로고
    • Toward a smart grid: Power delivery for the 21st century
    • S.M. Amin, and B.F. Wollenberg Toward a smart grid: power delivery for the 21st century Power Energy Mag IEEE 3 2005 34 41
    • (2005) Power Energy Mag IEEE , vol.3 , pp. 34-41
    • Amin, S.M.1    Wollenberg, B.F.2
  • 12
    • 77955696530 scopus 로고    scopus 로고
    • A reliability perspective of the smart grid
    • K. Moslehi, and R. Kumar A reliability perspective of the smart grid IEEE Trans Smart Grid 1 2010 57 64
    • (2010) IEEE Trans Smart Grid , vol.1 , pp. 57-64
    • Moslehi, K.1    Kumar, R.2
  • 16
    • 84899630479 scopus 로고    scopus 로고
    • Optimal load distribution model of microgrid in the smart grid environment
    • K. Zhou, S. Yang, Z. Chen, and S. Ding Optimal load distribution model of microgrid in the smart grid environment Renew Sustain Energy Rev 35 2014 304 310
    • (2014) Renew Sustain Energy Rev , vol.35 , pp. 304-310
    • Zhou, K.1    Yang, S.2    Chen, Z.3    Ding, S.4
  • 17
    • 77951665683 scopus 로고    scopus 로고
    • Biogeography-based optimization for different economic load dispatch problems
    • A. Bhattacharya, and P.K. Chattopadhyay Biogeography-based optimization for different economic load dispatch problems IEEE Trans Power Syst 25 2010 1064 1077
    • (2010) IEEE Trans Power Syst , vol.25 , pp. 1064-1077
    • Bhattacharya, A.1    Chattopadhyay, P.K.2
  • 19
    • 84856253869 scopus 로고    scopus 로고
    • Short-term load forecasting based on a semi-parametric additive model
    • S. Fan, and R.J. Hyndman Short-term load forecasting based on a semi-parametric additive model IEEE Trans Power Syst 27 2012 134 141
    • (2012) IEEE Trans Power Syst , vol.27 , pp. 134-141
    • Fan, S.1    Hyndman, R.J.2
  • 20
    • 80052103053 scopus 로고    scopus 로고
    • Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artificial bee colony algorithm
    • W.-C. Hong Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artificial bee colony algorithm Energy 36 2011 5568 5578
    • (2011) Energy , vol.36 , pp. 5568-5578
    • Hong, W.-C.1
  • 21
    • 84876126573 scopus 로고    scopus 로고
    • A review of electric load classification in smart grid environment
    • K. Zhou, S. Yang, and C. Shen A review of electric load classification in smart grid environment Renew Sustain Energy Rev 24 2013 103 110
    • (2013) Renew Sustain Energy Rev , vol.24 , pp. 103-110
    • Zhou, K.1    Yang, S.2    Shen, C.3
  • 22
    • 84866930511 scopus 로고    scopus 로고
    • A review and an analysis of the residential electric load curve models
    • A. Grandjean, J. Adnot, and G. Binet A review and an analysis of the residential electric load curve models Renew Sustain Energy Rev 16 2012 6539 6565
    • (2012) Renew Sustain Energy Rev , vol.16 , pp. 6539-6565
    • Grandjean, A.1    Adnot, J.2    Binet, G.3
  • 23
    • 84879827374 scopus 로고    scopus 로고
    • A new method for pattern recognition in load profiles to support decision-making in the management of the electric sector
    • A. Ferreira, C.A. Cavalcante, C.H. Fontes, and J.E. Marambio A new method for pattern recognition in load profiles to support decision-making in the management of the electric sector Int J Electr Power Energy Syst 53 2013 824 831
    • (2013) Int J Electr Power Energy Syst , vol.53 , pp. 824-831
    • Ferreira, A.1    Cavalcante, C.A.2    Fontes, C.H.3    Marambio, J.E.4
  • 24
    • 84918514072 scopus 로고    scopus 로고
    • Fuzziness parameter selection in fuzzy c-means: The perspective of cluster validation
    • K. Zhou, C. Fu, and S. Yang Fuzziness parameter selection in fuzzy c-means: The perspective of cluster validation Sci China Inf Sci 57 2014 1 8
    • (2014) Sci China Inf Sci , vol.57 , pp. 1-8
    • Zhou, K.1    Fu, C.2    Yang, S.3
  • 25
    • 84949500029 scopus 로고    scopus 로고
    • Comparison and weighted summation type of fuzzy cluster validity indices
    • K. Zhou, S. Ding, C. Fu, and S. Yang Comparison and weighted summation type of fuzzy cluster validity indices Int J Comput Commun Control 9 2014 370 378
    • (2014) Int J Comput Commun Control , vol.9 , pp. 370-378
    • Zhou, K.1    Ding, S.2    Fu, C.3    Yang, S.4
  • 27
    • 85152072818 scopus 로고    scopus 로고
    • Forbes
    • Forbes. Big data meets the smart electrical grid. (http://www.forbes.com/sites/tomgroenfeldt/2012/05/09/big-data-meets-the-smart-electrical-grid); 2012.
    • (2012) Big Data Meets the Smart Electrical Grid
  • 30
    • 85152034733 scopus 로고    scopus 로고
    • Lorie W. How big data will make us more energy efficient. (http://forumblog.org/2014/05/big-data-will-make-us-energy-efficient/?utm-content=buffera432a&utm-medium=social&utm-source=twitter.com&utm-campaign=buffer); 2014.
    • (2014) How Big Data Will Make Us More Energy Efficient
    • Lorie, W.1
  • 31
  • 32
    • 84904014949 scopus 로고    scopus 로고
    • Smart Grid Update
    • Smart Grid Update. Data management and analytics for utilities. (http://www.smartgridupdate.com/dataforutilities/pdf/DataManagementWhitePaper.pdf); 2013.
    • (2013) Data Management and Analytics for Utilities
  • 33
    • 84949523633 scopus 로고    scopus 로고
    • GigaOM
    • GigaOM. 10 ways big data is remaking energy. (http://gigaom.com/2012/01/29/10-ways-big-data-is-remaking-energy); 2012.
    • (2012) 10 Ways Big Data Is Remaking Energy
  • 34
  • 36
    • 0032023911 scopus 로고    scopus 로고
    • Evaluation of renewable energy potential using a GIS decision support system
    • D. Voivontas, D. Assimacopoulos, A. Mourelatos, and J. Corominas Evaluation of renewable energy potential using a GIS decision support system Renew Energy 13 1998 333 344
    • (1998) Renew Energy , vol.13 , pp. 333-344
    • Voivontas, D.1    Assimacopoulos, D.2    Mourelatos, A.3    Corominas, J.4
  • 37
    • 84877819339 scopus 로고    scopus 로고
    • A method for predicting city-wide electricity gains from photovoltaic panels based on LiDAR and GIS data combined with hourly Daysim simulations
    • J.A. Jakubiec, and C.F. Reinhart A method for predicting city-wide electricity gains from photovoltaic panels based on LiDAR and GIS data combined with hourly Daysim simulations Sol Energy 93 2013 127 143
    • (2013) Sol Energy , vol.93 , pp. 127-143
    • Jakubiec, J.A.1    Reinhart, C.F.2
  • 38
    • 84974738588 scopus 로고    scopus 로고
    • Issues and approaches of database integration
    • C. Parent, and S. Spaccapietra Issues and approaches of database integration Commun ACM 41 1998 166 178
    • (1998) Commun ACM , vol.41 , pp. 166-178
    • Parent, C.1    Spaccapietra, S.2
  • 49
    • 34548724404 scopus 로고    scopus 로고
    • Fuzzy possibilistic model for medium-term power generation planning with environmental criteria
    • E. Muela, G. Schweickardt, and F. Garces Fuzzy possibilistic model for medium-term power generation planning with environmental criteria Energy Policy 35 2007 5643 5655
    • (2007) Energy Policy , vol.35 , pp. 5643-5655
    • Muela, E.1    Schweickardt, G.2    Garces, F.3
  • 50
    • 73249117789 scopus 로고    scopus 로고
    • Solving complex economic load dispatch problems using biogeography-based optimization
    • A. Bhattacharya, and P.K. Chattopadhyay Solving complex economic load dispatch problems using biogeography-based optimization Expert Syst Appl 37 2010 3605 3615
    • (2010) Expert Syst Appl , vol.37 , pp. 3605-3615
    • Bhattacharya, A.1    Chattopadhyay, P.K.2
  • 51
    • 79151469535 scopus 로고    scopus 로고
    • Iteration particle swarm optimization procedure for economic load dispatch with generator constraints
    • A. Safari, and H. Shayeghi Iteration particle swarm optimization procedure for economic load dispatch with generator constraints Expert Syst Appl 38 2011 6043 6048
    • (2011) Expert Syst Appl , vol.38 , pp. 6043-6048
    • Safari, A.1    Shayeghi, H.2
  • 52
    • 42749084908 scopus 로고    scopus 로고
    • Adaptive particle swarm optimization approach for static and dynamic economic load dispatch
    • B. Panigrahi, V. Ravikumar Pandi, and S. Das Adaptive particle swarm optimization approach for static and dynamic economic load dispatch Energy Convers Manag 49 2008 1407 1415
    • (2008) Energy Convers Manag , vol.49 , pp. 1407-1415
    • Panigrahi, B.1    Ravikumar Pandi, V.2    Das, S.3
  • 54
    • 84961291581 scopus 로고    scopus 로고
    • Demand side management in China: The context of China's power industry reform
    • K. Zhou, and S. Yang Demand side management in China: The context of China's power industry reform Renew Sustain Energy Rev 47 2015 954 965
    • (2015) Renew Sustain Energy Rev , vol.47 , pp. 954-965
    • Zhou, K.1    Yang, S.2
  • 56
    • 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
  • 57
    • 84860833687 scopus 로고    scopus 로고
    • Overview and performance assessment of the clustering methods for electrical load pattern grouping
    • G. Chicco Overview and performance assessment of the clustering methods for electrical load pattern grouping Energy 42 2012 68 80
    • (2012) Energy , vol.42 , pp. 68-80
    • Chicco, G.1
  • 58
    • 22944447404 scopus 로고    scopus 로고
    • The long-run efficiency of real-time electricity pricing
    • S. Borenstein The long-run efficiency of real-time electricity pricing Energy J 2005 26
    • (2005) Energy J , pp. 26
    • Borenstein, S.1
  • 60
    • 79957636563 scopus 로고    scopus 로고
    • Efficient pricing and investment in electricity markets with intermittent resources
    • H.-p Chao Efficient pricing and investment in electricity markets with intermittent resources Energy Policy 39 2011 3945 3953
    • (2011) Energy Policy , vol.39 , pp. 3945-3953
    • Chao, H.-P.1
  • 62
    • 77951666162 scopus 로고    scopus 로고
    • Power generation expansion planning model towards low-carbon economy and its application in China
    • Q. Chen, C. Kang, Q. Xia, and J. Zhong Power generation expansion planning model towards low-carbon economy and its application in China IEEE Trans Power Syst 25 2010 1117 1125
    • (2010) IEEE Trans Power Syst , vol.25 , pp. 1117-1125
    • Chen, Q.1    Kang, C.2    Xia, Q.3    Zhong, J.4
  • 63
    • 0842333988 scopus 로고    scopus 로고
    • A multiple objective mixed integer linear programming model for power generation expansion planning
    • C.H. Antunes, A.G. Martins, and I.S. Brito A multiple objective mixed integer linear programming model for power generation expansion planning Energy 29 2004 613 627
    • (2004) Energy , vol.29 , pp. 613-627
    • Antunes, C.H.1    Martins, A.G.2    Brito, I.S.3
  • 64
    • 34548042336 scopus 로고    scopus 로고
    • A new efficient GA-benders decomposition method: For power generation expansion planning with emission controls
    • J. Sirikum, A. Techanitisawad, and V. Kachitvichyanukul A new efficient GA-benders decomposition method: For power generation expansion planning with emission controls IEEE Trans Power Syst 22 2007 1092 1100
    • (2007) IEEE Trans Power Syst , vol.22 , pp. 1092-1100
    • Sirikum, J.1    Techanitisawad, A.2    Kachitvichyanukul, V.3
  • 65
    • 33746580332 scopus 로고    scopus 로고
    • Portfolio-based electricity generation planning: Policy implications for renewables and energy security
    • S. Awerbuch Portfolio-based electricity generation planning: policy implications for renewables and energy security Mitig Adapt Strat Glob Change 11 2006 693 710
    • (2006) Mitig Adapt Strat Glob Change , vol.11 , pp. 693-710
    • Awerbuch, S.1
  • 66
    • 33646047398 scopus 로고    scopus 로고
    • Electric power generation planning for interrelated projects: A real options approach
    • C.-H. Wang, and K.J. Min Electric power generation planning for interrelated projects: a real options approach IEEE Trans Eng Manag 53 2006 312 322
    • (2006) IEEE Trans Eng Manag , vol.53 , pp. 312-322
    • Wang, C.-H.1    Min, K.J.2
  • 67
    • 71749103830 scopus 로고    scopus 로고
    • Quantum-behaved particle swarm optimization algorithm for economic load dispatch of power system
    • Z. Zhisheng Quantum-behaved particle swarm optimization algorithm for economic load dispatch of power system Expert Syst Appl 37 2010 1800 1803
    • (2010) Expert Syst Appl , vol.37 , pp. 1800-1803
    • Zhisheng, Z.1
  • 68
    • 80053523128 scopus 로고    scopus 로고
    • Solving economic load dispatch problem with valve-point effects using a hybrid quantum mechanics inspired particle swarm optimisation
    • S. Chakraborty, T. Senjyu, A. Yona, A. Saber, and T. Funabashi Solving economic load dispatch problem with valve-point effects using a hybrid quantum mechanics inspired particle swarm optimisation Gener Transm Distrib IET 5 2011 1042 1052
    • (2011) Gener Transm Distrib IET , vol.5 , pp. 1042-1052
    • Chakraborty, S.1    Senjyu, T.2    Yona, A.3    Saber, A.4    Funabashi, T.5
  • 69
    • 67650756758 scopus 로고    scopus 로고
    • Economic dispatch using particle swarm optimization: A review
    • A. Mahor, V. Prasad, and S. Rangnekar Economic dispatch using particle swarm optimization: A review Renew Sustain Energy Rev 13 2009 2134 2141
    • (2009) Renew Sustain Energy Rev , vol.13 , pp. 2134-2141
    • Mahor, A.1    Prasad, V.2    Rangnekar, S.3
  • 70
    • 42749094578 scopus 로고    scopus 로고
    • Differential evolution for economic load dispatch problems
    • N. Noman, and H. Iba Differential evolution for economic load dispatch problems Electr Power Syst Res 78 2008 1322 1331
    • (2008) Electr Power Syst Res , vol.78 , pp. 1322-1331
    • Noman, N.1    Iba, H.2
  • 71
    • 77958512871 scopus 로고    scopus 로고
    • Hybrid differential evolution with biogeography-based optimization for solution of economic load dispatch
    • A. Bhattacharya, and P.K. Chattopadhyay Hybrid differential evolution with biogeography-based optimization for solution of economic load dispatch IEEE Trans Power Syst 25 2010 1955 1964
    • (2010) IEEE Trans Power Syst , vol.25 , pp. 1955-1964
    • Bhattacharya, A.1    Chattopadhyay, P.K.2
  • 73
    • 79956202247 scopus 로고    scopus 로고
    • Economic load dispatch using hybrid swarm intelligence based harmony search algorithm
    • V.R. Pandi, B. Panigrahi, R.C. Bansal, S. Das, and A. Mohapatra Economic load dispatch using hybrid swarm intelligence based harmony search algorithm Electr Power Compon Syst 39 2011 751 767
    • (2011) Electr Power Compon Syst , vol.39 , pp. 751-767
    • Pandi, V.R.1    Panigrahi, B.2    Bansal, R.C.3    Das, S.4    Mohapatra, A.5
  • 74
    • 84866556682 scopus 로고    scopus 로고
    • An effective differential harmony search algorithm for the solving non-convex economic load dispatch problems
    • L. Wang, and L.-p Li An effective differential harmony search algorithm for the solving non-convex economic load dispatch problems Int J Electr Power Energy Syst 44 2013 832 843
    • (2013) Int J Electr Power Energy Syst , vol.44 , pp. 832-843
    • Wang, L.1    Li, L.-P.2
  • 75
    • 84858450641 scopus 로고    scopus 로고
    • Solution of combined economic and emission dispatch problems of power systems by an opposition-based harmony search algorithm
    • A. Chatterjee, S. Ghoshal, and V. Mukherjee Solution of combined economic and emission dispatch problems of power systems by an opposition-based harmony search algorithm Int J Electr Power Energy Syst 39 2012 9 20
    • (2012) Int J Electr Power Energy Syst , vol.39 , pp. 9-20
    • Chatterjee, A.1    Ghoshal, S.2    Mukherjee, V.3
  • 76
    • 84890849510 scopus 로고    scopus 로고
    • A modified harmony search method for environmental/economic load dispatch of real-world power systems
    • B. Jeddi, and V. Vahidinasab A modified harmony search method for environmental/economic load dispatch of real-world power systems Energy Convers Manag 78 2014 661 675
    • (2014) Energy Convers Manag , vol.78 , pp. 661-675
    • Jeddi, B.1    Vahidinasab, V.2
  • 80
    • 4043160511 scopus 로고    scopus 로고
    • Optimal investment planning for distributed generation in a competitive electricity market
    • W. El-Khattam, K. Bhattacharya, Y. Hegazy, and M. Salama Optimal investment planning for distributed generation in a competitive electricity market IEEE Trans Power Syst 19 2004 1674 1684
    • (2004) IEEE Trans Power Syst , vol.19 , pp. 1674-1684
    • El-Khattam, W.1    Bhattacharya, K.2    Hegazy, Y.3    Salama, M.4
  • 82
    • 33947303690 scopus 로고    scopus 로고
    • An advanced statistical method for wind power forecasting
    • G. Sideratos, and N.D. Hatziargyriou An advanced statistical method for wind power forecasting IEEE Trans Power Syst 22 2007 258 265
    • (2007) IEEE Trans Power Syst , vol.22 , pp. 258-265
    • Sideratos, G.1    Hatziargyriou, N.D.2
  • 83
    • 33244496469 scopus 로고    scopus 로고
    • Using quantile regression to extend an existing wind power forecasting system with probabilistic forecasts
    • H.A. Nielsen, H. Madsen, and T.S. Nielsen Using quantile regression to extend an existing wind power forecasting system with probabilistic forecasts Wind Energy 9 2006 95 108
    • (2006) Wind Energy , vol.9 , pp. 95-108
    • Nielsen, H.A.1    Madsen, H.2    Nielsen, T.S.3
  • 86
    • 79961126223 scopus 로고    scopus 로고
    • Current methods and advances in forecasting of wind power generation
    • A.M. Foley, P.G. Leahy, A. Marvuglia, and E.J. McKeogh Current methods and advances in forecasting of wind power generation Renew Energy 37 2012 1 8
    • (2012) Renew Energy , vol.37 , pp. 1-8
    • Foley, A.M.1    Leahy, P.G.2    Marvuglia, A.3    McKeogh, E.J.4
  • 87
    • 61649090211 scopus 로고    scopus 로고
    • Short-term prediction of wind farm power: A data mining approach
    • A. Kusiak, H. Zheng, and Z. Song Short-term prediction of wind farm power: a data mining approach IEEE Trans Energy Convers 24 2009 125 136
    • (2009) IEEE Trans Energy Convers , vol.24 , pp. 125-136
    • Kusiak, A.1    Zheng, H.2    Song, Z.3
  • 88
    • 70049096782 scopus 로고    scopus 로고
    • Online short-term solar power forecasting
    • P. Bacher, H. Madsen, and H.A. Nielsen Online short-term solar power forecasting Sol Energy 83 2009 1772 1783
    • (2009) Sol Energy , vol.83 , pp. 1772-1783
    • Bacher, P.1    Madsen, H.2    Nielsen, H.A.3
  • 89
    • 80053972368 scopus 로고    scopus 로고
    • Online 24-h solar power forecasting based on weather type classification using artificial neural network
    • C. Chen, S. Duan, T. Cai, and B. Liu Online 24-h solar power forecasting based on weather type classification using artificial neural network Sol Energy 85 2011 2856 2870
    • (2011) Sol Energy , vol.85 , pp. 2856-2870
    • Chen, C.1    Duan, S.2    Cai, T.3    Liu, B.4
  • 90
    • 84861712862 scopus 로고    scopus 로고
    • Assessment of forecasting techniques for solar power production with no exogenous inputs
    • H.T. Pedro, and C.F. Coimbra Assessment of forecasting techniques for solar power production with no exogenous inputs Sol Energy 86 2012 2017 2028
    • (2012) Sol Energy , vol.86 , pp. 2017-2028
    • Pedro, H.T.1    Coimbra, C.F.2
  • 92
    • 77953139791 scopus 로고    scopus 로고
    • Forecasting photovoltaic array power production subject to mismatch losses
    • D. Picault, B. Raison, S. Bacha, J. De La Casa, and J. Aguilera Forecasting photovoltaic array power production subject to mismatch losses Sol Energy 84 2010 1301 1309
    • (2010) Sol Energy , vol.84 , pp. 1301-1309
    • Picault, D.1    Raison, B.2    Bacha, S.3    De La Casa, J.4    Aguilera, J.5
  • 94
    • 80054802157 scopus 로고    scopus 로고
    • Standalone hybrid wind-solar power generation system applying dump power control without dump load
    • T. Hirose, and H. Matsuo Standalone hybrid wind-solar power generation system applying dump power control without dump load IEEE Trans Ind Electron 59 2012 988 997
    • (2012) IEEE Trans Ind Electron , vol.59 , pp. 988-997
    • Hirose, T.1    Matsuo, H.2
  • 96
    • 67650738758 scopus 로고    scopus 로고
    • A current and future state of art development of hybrid energy system using wind and PV-solar: A review
    • P. Nema, R. Nema, and S. Rangnekar A current and future state of art development of hybrid energy system using wind and PV-solar: A review Renew Sustain Energy Rev 13 2009 2096 2103
    • (2009) Renew Sustain Energy Rev , vol.13 , pp. 2096-2103
    • Nema, P.1    Nema, R.2    Rangnekar, S.3
  • 97
    • 75849133450 scopus 로고    scopus 로고
    • Asset management techniques for transformers
    • A.E. Abu-Elanien, and M. Salama Asset management techniques for transformers Electr Power Syst Res 80 2010 456 464
    • (2010) Electr Power Syst Res , vol.80 , pp. 456-464
    • Abu-Elanien, A.E.1    Salama, M.2
  • 98
  • 99
    • 18844367688 scopus 로고    scopus 로고
    • Time management for assets: Chronological strategies for power system asset management
    • M. Shahidehpour, and R. Ferrero Time management for assets: chronological strategies for power system asset management Power Energy Mag IEEE 3 2005 32 38
    • (2005) Power Energy Mag IEEE , vol.3 , pp. 32-38
    • Shahidehpour, M.1    Ferrero, R.2
  • 100
    • 13844313055 scopus 로고    scopus 로고
    • A reliability-centered asset maintenance method for assessing the impact of maintenance in power distribution systems
    • L. Bertling, R. Allan, and R. Eriksson A reliability-centered asset maintenance method for assessing the impact of maintenance in power distribution systems IEEE Trans Power Syst 20 2005 75 82
    • (2005) IEEE Trans Power Syst , vol.20 , pp. 75-82
    • Bertling, L.1    Allan, R.2    Eriksson, R.3
  • 103
    • 49249089631 scopus 로고    scopus 로고
    • Power system operation risk assessment using credibility theory
    • Y. Feng, W. Wu, B. Zhang, and W. Li Power system operation risk assessment using credibility theory IEEE Trans Power Syst 23 2008 1309 1318
    • (2008) IEEE Trans Power Syst , vol.23 , pp. 1309-1318
    • Feng, Y.1    Wu, W.2    Zhang, B.3    Li, W.4
  • 106
    • 67349288151 scopus 로고    scopus 로고
    • Fault diagnosis of power transformer based on support vector machine with genetic algorithm
    • S.-w. Fei, and X.-b. Zhang Fault diagnosis of power transformer based on support vector machine with genetic algorithm Expert Syst Appl 36 2009 11352 11357
    • (2009) Expert Syst Appl , vol.36 , pp. 11352-11357
    • Fei, S.-W.1    Zang, X.-B.2
  • 107
    • 0029354288 scopus 로고
    • Sequential Monte Carlo simulation for composite power system reliability analysis with time varying loads
    • A. Sankarakrishnan, and R. Billinton Sequential Monte Carlo simulation for composite power system reliability analysis with time varying loads IEEE Trans Power Syst 10 1995 1540 1545
    • (1995) IEEE Trans Power Syst , vol.10 , pp. 1540-1545
    • Sankarakrishnan, A.1    Billinton, R.2
  • 108
    • 61349163558 scopus 로고    scopus 로고
    • Application of the fault tree analysis for assessment of power system reliability
    • A. Volkanovski, M. Čepin, and B. Mavko Application of the fault tree analysis for assessment of power system reliability Reliab Eng System Saf 94 2009 1116 1127
    • (2009) Reliab Eng System Saf , vol.94 , pp. 1116-1127
    • Volkanovski, A.1    Čepin, M.2    Mavko, B.3
  • 110
    • 79953211586 scopus 로고    scopus 로고
    • A new neural network approach to short term load forecasting of electrical power systems
    • N. Amjady, and F. Keynia A new neural network approach to short term load forecasting of electrical power systems Energies 4 2011 488 503
    • (2011) Energies , vol.4 , pp. 488-503
    • Amjady, N.1    Keynia, F.2
  • 111
    • 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
  • 112
    • 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 Expert Syst Appl 37 2010 2531 2539
    • (2010) Expert Syst Appl , vol.37 , pp. 2531-2539
    • Niu, D.1    Wang, Y.2    Wu, D.D.3
  • 113
    • 70349578020 scopus 로고    scopus 로고
    • Long term electric load forecasting based on particle swarm optimization
    • M. AlRashidi, and K. El-Naggar Long term electric load forecasting based on particle swarm optimization Appl Energy 87 2010 320 326
    • (2010) Appl Energy , vol.87 , pp. 320-326
    • AlRashidi, M.1    El-Naggar, K.2
  • 114
    • 77949261436 scopus 로고    scopus 로고
    • Combined modeling for electric load forecasting with adaptive particle swarm optimization
    • J. Wang, S. Zhu, W. Zhang, and H. Lu Combined modeling for electric load forecasting with adaptive particle swarm optimization Energy 35 2010 1671 1678
    • (2010) Energy , vol.35 , pp. 1671-1678
    • Wang, J.1    Zhu, S.2    Zhang, W.3    Lu, H.4
  • 115
    • 77958467490 scopus 로고    scopus 로고
    • Application of chaotic ant swarm optimization in electric load forecasting
    • W.-C. Hong Application of chaotic ant swarm optimization in electric load forecasting Energy Policy 38 2010 5830 5839
    • (2010) Energy Policy , vol.38 , pp. 5830-5839
    • Hong, W.-C.1
  • 117
    • 84878253829 scopus 로고    scopus 로고
    • Modeling and forecasting daily electricity load curves: A hybrid approach
    • H. Cho, Y. Goude, X. Brossat, and Q. Yao Modeling and forecasting daily electricity load curves: a hybrid approach J Am Stat Assoc 108 2013 7 21
    • (2013) J Am Stat Assoc , vol.108 , pp. 7-21
    • Cho, H.1    Goude, Y.2    Brossat, X.3    Yao, Q.4
  • 118
    • 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 Power Syst 22 2007 333 341
    • (2007) IEEE Trans Power Syst , vol.22 , pp. 333-341
    • Amjady, N.1
  • 119
    • 32144462264 scopus 로고    scopus 로고
    • Short-term load forecasting based on an adaptive hybrid method
    • S. Fan, and L. Chen Short-term load forecasting based on an adaptive hybrid method IEEE Trans Power Syst 21 2006 392 401
    • (2006) IEEE Trans Power Syst , vol.21 , pp. 392-401
    • Fan, S.1    Chen, L.2
  • 120
    • 84871083479 scopus 로고    scopus 로고
    • An improved fuzzy C-means algorithm for power load characteristics classification
    • K. Zhou, and S. Yang An improved fuzzy C-means algorithm for power load characteristics classification Power Syst Prot Control 40 2012 58 63
    • (2012) Power Syst Prot Control , vol.40 , pp. 58-63
    • Zhou, K.1    Yang, S.2
  • 122
    • 77955176145 scopus 로고    scopus 로고
    • Data-based method for creating electricity use load profiles using large amount of customer-specific hourly measured electricity use data
    • T. Räsänen, D. Voukantsis, H. Niska, K. Karatzas, and M. Kolehmainen Data-based method for creating electricity use load profiles using large amount of customer-specific hourly measured electricity use data Appl Energy 87 2010 3538 3545
    • (2010) Appl Energy , vol.87 , pp. 3538-3545
    • Räsänen, T.1    Voukantsis, D.2    Niska, H.3    Karatzas, K.4    Kolehmainen, M.5
  • 125
    • 80051549047 scopus 로고    scopus 로고
    • Building load management using cluster and statistical analyses
    • P.R. Jota, V.R. Silva, and F.G. Jota Building load management using cluster and statistical analyses Int J Electr Power Energy Syst 33 2011 1498 1505
    • (2011) Int J Electr Power Energy Syst , vol.33 , pp. 1498-1505
    • Jota, P.R.1    Silva, V.R.2    Jota, F.G.3
  • 126
    • 33847652936 scopus 로고    scopus 로고
    • Classification, filtering, and identification of electrical customer load patterns through the use of self-organizing maps
    • S.V. Verdú, M.O. Garcia, C. Senabre, A.G. Marín, and F.J.G. Franco Classification, filtering, and identification of electrical customer load patterns through the use of self-organizing maps IEEE Trans Power Syst 21 2006 1672 1682
    • (2006) IEEE Trans Power Syst , vol.21 , pp. 1672-1682
    • Verdú, S.V.1    Garcia, M.O.2    Senabre, C.3    Marín, A.G.4    Franco, F.J.G.5
  • 127
    • 77957144893 scopus 로고    scopus 로고
    • Household response to dynamic pricing of electricity: A survey of 15 experiments
    • A. Faruqui, and S. Sergici Household response to dynamic pricing of electricity: a survey of 15 experiments J Regul Econ 38 2010 193 225
    • (2010) J Regul Econ , vol.38 , pp. 193-225
    • Faruqui, A.1    Sergici, S.2
  • 128
    • 77956064159 scopus 로고    scopus 로고
    • Optimal residential load control with price prediction in real-time electricity pricing environments
    • A.-H. Mohsenian-Rad, and A. Leon-Garcia Optimal residential load control with price prediction in real-time electricity pricing environments IEEE Trans Smart Grid 1 2010 120 133
    • (2010) IEEE Trans Smart Grid , vol.1 , pp. 120-133
    • Mohsenian-Rad, A.-H.1    Leon-Garcia, A.2
  • 129
    • 84879501966 scopus 로고    scopus 로고
    • Dynamic electricity pricing - Which programs do consumers prefer?
    • E. Dütschke, and A.-G. Paetz Dynamic electricity pricing - Which programs do consumers prefer? Energy Policy 59 2013 226 234
    • (2013) Energy Policy , vol.59 , pp. 226-234
    • Dütschke, E.1    Paetz, A.-G.2
  • 132
    • 82655173768 scopus 로고    scopus 로고
    • A novel algorithm for feature selection using harmony search and its application for non-technical losses detection
    • C.C. Ramos, A.N. Souza, G. Chiachia, A.X. Falcão, and J.P. Papa A novel algorithm for feature selection using harmony search and its application for non-technical losses detection Comput Electr Eng 37 2011 886 894
    • (2011) Comput Electr Eng , vol.37 , pp. 886-894
    • Ramos, C.C.1    Souza, A.N.2    Chiachia, G.3    Falcão, A.X.4    Papa, J.P.5
  • 133
    • 81055156599 scopus 로고    scopus 로고
    • Detection of frauds and other non-technical losses in a power utility using Pearson coefficient, Bayesian networks and decision trees
    • I. Monedero, F. Biscarri, C. León, J.I. Guerrero, J. Biscarri, and R. Millán Detection of frauds and other non-technical losses in a power utility using Pearson coefficient, Bayesian networks and decision trees Int J Electr Power Energy Syst 34 2012 90 98
    • (2012) Int J Electr Power Energy Syst , vol.34 , pp. 90-98
    • Monedero, I.1    Biscarri, F.2    León, C.3    Guerrero, J.I.4    Biscarri, J.5    Millán, R.6
  • 134
    • 84974709430 scopus 로고    scopus 로고
    • Management issues of Big Data: The resource-based view of Big Data
    • S. Yang, and K. Zhou Management issues of Big Data: The resource-based view of Big Data J Manag Sci China 18 2015 1 8
    • (2015) J Manag Sci China , vol.18 , pp. 1-8
    • Yang, S.1    Zhou, K.2
  • 135
    • 85152065208 scopus 로고    scopus 로고
    • 3TIER by Vaisala
    • 3TIER by Vaisala. (http://www.3tier.com); 2014.
    • (2014)
  • 136
    • 85151935581 scopus 로고    scopus 로고
    • EnerNOC
    • EnerNOC. (http://www.enernoc.com); 2014.
    • (2014)
  • 137
    • 85151948988 scopus 로고    scopus 로고
    • Silver Spring Networks
    • Silver Spring Networks. (http://www.silverspringnet.com); 2014.
    • (2014)
  • 138
    • 85151932219 scopus 로고    scopus 로고
    • Tendril
    • Tendril. (http://www.tendrilinc.com); 2014.
    • (2014)
  • 139
    • 85152081694 scopus 로고    scopus 로고
    • Ecofactor
    • Ecofactor. (http://www.ecofactor.com); 2014.
    • (2014)
  • 140
    • 85152056766 scopus 로고    scopus 로고
    • Efergy
    • Efergy. (http://www.efergy.com); 2014.
    • (2014)
  • 141
    • 85151952116 scopus 로고    scopus 로고
    • EnergyHub
    • EnergyHub. (http://www.energyhub.com); 2014.
    • (2014)
  • 142
    • 85152011617 scopus 로고    scopus 로고
    • Opower
    • Opower. (http://www.opower.com); 2014.
    • (2014)
  • 143
    • 85151997910 scopus 로고    scopus 로고
    • C3 Energy
    • C3 Energy. (http://www.c3energy.com); 2014.
    • (2014)
  • 144
    • 85152050724 scopus 로고    scopus 로고
    • FirstFuel
    • FirstFuel. (http://www.firstfuel.com); 2014.
    • (2014)
  • 145
    • 85151932163 scopus 로고    scopus 로고
    • Grid Navigator
    • Grid Navigator. (http://www.gridnavigator.com); 2014.
    • (2014)
  • 146
    • 85151937361 scopus 로고    scopus 로고
    • Simple Energy
    • Simple Energy. (http://www.simpleenergy.com); 2015.
    • (2015)
  • 147
    • 85152067276 scopus 로고    scopus 로고
    • Nest
    • Nest. (http://www.nest.com); 2014.
    • (2014)
  • 148
    • 85152000032 scopus 로고    scopus 로고
    • AutoGrid
    • AutoGrid. (http://www.auto-grid.com); 2014.
    • (2014)
  • 149
    • 85152010042 scopus 로고    scopus 로고
    • Bidgely
    • Bidgely. (http://www.bidgely.com); 2014.
    • (2014)
  • 150
    • 85151942281 scopus 로고    scopus 로고
    • Big Data Energy
    • Big Data Energy. (http://www.bigdataenergyservices.com); 2014.
    • (2014)
  • 151
    • 85152007349 scopus 로고    scopus 로고
    • PPTN. How to apply big data for power industry
    • PPTN. How to apply big data for power industry. (http://www.cnii.com.cn/informatization/2013-07/01/content-1173540.htm); 2013.
    • (2013)
  • 153
    • 85052892619 scopus 로고    scopus 로고
    • With Wiki Energy, Pecan Street shares the largest residential energy database with the world
    • Scientific American. With Wiki Energy, Pecan Street shares the largest residential energy database with the world. (http://blogs.scientificamerican.com/plugged-in/2014/03/12/with-wiki-energy-pecan-street-project-shares-the-largest-residential-energy-database-with-the-world); 2014.
    • (2014) Scientific American
  • 156
    • 67650822699 scopus 로고    scopus 로고
    • Security and privacy challenges in the smart grid
    • P. McDaniel, and S. McLaughlin Security and privacy challenges in the smart grid IEEE Secur Privacy 7 2009 75 77
    • (2009) IEEE Secur Privacy , vol.7 , pp. 75-77
    • McDaniel, P.1    McLaughlin, S.2
  • 157
    • 78149462230 scopus 로고    scopus 로고
    • A secure decentralized data-centric information infrastructure for smart grid
    • Y.-J. Kim, M. Thottan, V. Kolesnikov, and W. Lee A secure decentralized data-centric information infrastructure for smart grid Commun Mag IEEE 48 2010 58 65
    • (2010) Commun Mag IEEE , vol.48 , pp. 58-65
    • Kim, Y.-J.1    Thottan, M.2    Kolesnikov, V.3    Lee, W.4


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