A projection neural network for optimal demand response in smart grid environment uri icon

abstract

  • 2016, The Natural Computing Applications Forum. This paper presents a smart grid model that fully considers the power consumption types of users and the features of electricity price. A satisfaction function is added into the bill function to balance the user experience of electricity usage and the consumption of load. For the purpose of minimizing the electricity bill of all users, a single-layer projection neural network (PNN) is used, which is proven to be global convergence. And the simulation results reveal that the effectiveness and peculiarities of the proposed PNN.

published proceedings

  • NEURAL COMPUTING & APPLICATIONS

altmetric score

  • 0.5

author list (cited authors)

  • Yao, Y., He, X., Huang, T., Li, C., & Xia, D.

citation count

  • 10

complete list of authors

  • Yao, Yao||He, Xing||Huang, Tingwen||Li, Chaojie||Xia, Dawen

publication date

  • March 2018