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Volumn 149, Issue PB, 2015, Pages 608-612

A recurrent neural network for optimal real-time price in smart grid

Author keywords

Differential inclusion; Recurrent neural networks; Smart grid

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; COSTS; DIFFERENTIAL EQUATIONS; OPTIMIZATION; SITE SELECTION; SMART POWER GRIDS;

EID: 85027931146     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.08.014     Document Type: Article
Times cited : (41)

References (21)
  • 4
    • 36349012586 scopus 로고    scopus 로고
    • Multi-agent systems for power engineering applications Part I. concepts, approaches, and technical challenges
    • McArthur S.D.J., et al. Multi-agent systems for power engineering applications Part I. concepts, approaches, and technical challenges. IEEE Trans. Power Syst. 2007, 22(4):1743-1752.
    • (2007) IEEE Trans. Power Syst. , vol.22 , Issue.4 , pp. 1743-1752
    • McArthur, S.D.J.1
  • 5
    • 79957769025 scopus 로고    scopus 로고
    • Mouftah Wireless sensor networks for cost-efficient residential energy management in the smart grid
    • Kantarci M.E., Mouftah Wireless sensor networks for cost-efficient residential energy management in the smart grid. IEEE Trans. Smart Grid 2011, 2(2):314-324.
    • (2011) IEEE Trans. Smart Grid , vol.2 , Issue.2 , pp. 314-324
    • Kantarci, M.E.1
  • 6
    • 84890554717 scopus 로고    scopus 로고
    • Power grid complex network evolutions for the smart grid
    • Pagani G.A., Aiello M. Power grid complex network evolutions for the smart grid. IEEE Trans. Smart Grid 2014, 396(15):248-266.
    • (2014) IEEE Trans. Smart Grid , vol.396 , Issue.15 , pp. 248-266
    • Pagani, G.A.1    Aiello, M.2
  • 7
    • 49649119936 scopus 로고    scopus 로고
    • A novel recurrent neural network for solving nonlinear optimization problems with inequality constraints
    • Xia Y., Feng G., Wang J. A novel recurrent neural network for solving nonlinear optimization problems with inequality constraints. IEEE Trans. Neural Netw. 2008, 19(8):1340-1353.
    • (2008) IEEE Trans. Neural Netw. , vol.19 , Issue.8 , pp. 1340-1353
    • Xia, Y.1    Feng, G.2    Wang, J.3
  • 8
    • 50549089953 scopus 로고    scopus 로고
    • A neutral-type delayed projection neural network for solving nonlinear variational inequalities
    • Cheng L., Hou Z., Tan M. A neutral-type delayed projection neural network for solving nonlinear variational inequalities. IEEE Trans. Circuits Syst. II, Exp. Briefs 2008, 55(8):806-810.
    • (2008) IEEE Trans. Circuits Syst. II, Exp. Briefs , vol.55 , Issue.8 , pp. 806-810
    • Cheng, L.1    Hou, Z.2    Tan, M.3
  • 9
    • 34249016393 scopus 로고    scopus 로고
    • Solving pseudomonotone variational inequalities and pseudoconvex optimization problems using the projection neural network
    • Hu X., Wang J. Solving pseudomonotone variational inequalities and pseudoconvex optimization problems using the projection neural network. IEEE Trans. Neural Netw. 2006, 17(6):1487-1499.
    • (2006) IEEE Trans. Neural Netw. , vol.17 , Issue.6 , pp. 1487-1499
    • Hu, X.1    Wang, J.2
  • 10
    • 67649342385 scopus 로고    scopus 로고
    • A delayed projection neural network for solving linear variational inequalities
    • Cheng L., Hou Z., Tian M. A delayed projection neural network for solving linear variational inequalities. IEEE Trans. Neural Netw. 2009, 20(6):915-925.
    • (2009) IEEE Trans. Neural Netw. , vol.20 , Issue.6 , pp. 915-925
    • Cheng, L.1    Hou, Z.2    Tian, M.3
  • 11
    • 84902459537 scopus 로고    scopus 로고
    • Neural network for solving Nash equilibrium problem in application of multiuser power control
    • He X., Yu J., Huang T., Li C., Li C. Neural network for solving Nash equilibrium problem in application of multiuser power control. Neural Netw. 2014, 57:73-78.
    • (2014) Neural Netw. , vol.57 , pp. 73-78
    • He, X.1    Yu, J.2    Huang, T.3    Li, C.4    Li, C.5
  • 12
    • 84855945623 scopus 로고    scopus 로고
    • A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for portfolio optimization
    • Liu Q., Guo Z., Wang J. A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for portfolio optimization. Neural Netw. 2012, 26(1):99-109.
    • (2012) Neural Netw. , vol.26 , Issue.1 , pp. 99-109
    • Liu, Q.1    Guo, Z.2    Wang, J.3
  • 13
    • 84876336546 scopus 로고    scopus 로고
    • A recurrent neural network for solving a class of generalized convex optimization problems
    • Hosseini A., Wang J., Mohamma S. A recurrent neural network for solving a class of generalized convex optimization problems. Neural Netw. 2013, 44:78-86.
    • (2013) Neural Netw. , vol.44 , pp. 78-86
    • Hosseini, A.1    Wang, J.2    Mohamma, S.3
  • 14
    • 58149463439 scopus 로고    scopus 로고
    • Applications of the general projection neural network in solving extended linear-quadratic programming problems with linear constraints
    • Hu X. Applications of the general projection neural network in solving extended linear-quadratic programming problems with linear constraints. Neurocomputing 2009, 72(4):1131-1137.
    • (2009) Neurocomputing , vol.72 , Issue.4 , pp. 1131-1137
    • Hu, X.1
  • 15
    • 84897025856 scopus 로고    scopus 로고
    • A recurrent neural network for solving bilevel linear programming problem
    • He X., Li C., Huang T., Li C.J. A recurrent neural network for solving bilevel linear programming problem. IEEE Trans. Neural Netw. Learn. Syst. 2014, 25(4):824-830.
    • (2014) IEEE Trans. Neural Netw. Learn. Syst. , vol.25 , Issue.4 , pp. 824-830
    • He, X.1    Li, C.2    Huang, T.3    Li, C.J.4
  • 16
    • 4744373635 scopus 로고    scopus 로고
    • Generalized neural network for nonsmooth nonlinear programming problems
    • Forti M., Nistri P., Quincampoix M. Generalized neural network for nonsmooth nonlinear programming problems. IEEE Trans. Circuits Syst. I, Reg. Pap. 2004, 51(9):1741-1754.
    • (2004) IEEE Trans. Circuits Syst. I, Reg. Pap. , vol.51 , Issue.9 , pp. 1741-1754
    • Forti, M.1    Nistri, P.2    Quincampoix, M.3
  • 17
    • 84874651542 scopus 로고    scopus 로고
    • Neural network for solving constrained convex optimization problems with global attractivity
    • Bian W., Xue X. Neural network for solving constrained convex optimization problems with global attractivity. IEEE Trans. Circuits Syst. I, Reg. Pap. 2013, 06(3):710-723.
    • (2013) IEEE Trans. Circuits Syst. I, Reg. Pap. , vol.6 , Issue.3 , pp. 710-723
    • Bian, W.1    Xue, X.2
  • 18
    • 84890159638 scopus 로고    scopus 로고
    • Neural network for solving convex quadratic bilevel programming problems
    • He X., Li C., Huang T., Li C.J. Neural network for solving convex quadratic bilevel programming problems. Neural Netw. 2014, 51(3):17-25.
    • (2014) Neural Netw. , vol.51 , Issue.3 , pp. 17-25
    • He, X.1    Li, C.2    Huang, T.3    Li, C.J.4
  • 19
    • 84876337591 scopus 로고    scopus 로고
    • A one-layer projection neural network for nonsmooth optimization subject to linear equalities and bound constraints
    • Liu Q., Wang J. A one-layer projection neural network for nonsmooth optimization subject to linear equalities and bound constraints. IEEE Trans. Neural Netw. Learn. Syst. 2013, 24(5):812-824.
    • (2013) IEEE Trans. Neural Netw. Learn. Syst. , vol.24 , Issue.5 , pp. 812-824
    • Liu, Q.1    Wang, J.2
  • 20
    • 84903309868 scopus 로고    scopus 로고
    • One-layer continuous-and discrete-time projection neural networks for solving variational inequalities and related optimization problems
    • Liu Q., Huang T., Wang J. One-layer continuous-and discrete-time projection neural networks for solving variational inequalities and related optimization problems. IEEE Trans. Neural Netw. Learn. Syst. 2014, 25(7):1308-1318.
    • (2014) IEEE Trans. Neural Netw. Learn. Syst. , vol.25 , Issue.7 , pp. 1308-1318
    • Liu, Q.1    Huang, T.2    Wang, J.3
  • 21
    • 80052945341 scopus 로고    scopus 로고
    • Global exponential stability of discrete-time recurrent neural network for solving quadratic programming problems subject to linear constraints
    • Liu Q., Cao J. Global exponential stability of discrete-time recurrent neural network for solving quadratic programming problems subject to linear constraints. Neurocomputing 2011, 74(17):3494-3501.
    • (2011) Neurocomputing , vol.74 , Issue.17 , pp. 3494-3501
    • Liu, Q.1    Cao, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.