human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "feasibility of using discriminate pricing schemes for energy trading in smart grid"
  Abstract: This paper investigates the feasibility of using a discriminate pricing scheme to offset the inconvenience that is experienced by an energy user (EU) in trading its energy with an energy controller in smart grid. The main objective is to encourage EUs with small distributed energy resources (DERs), or with high sensitivity to their inconvenience, to take part in the energy trading via providing incentive to them with relatively higher payment at the same time as reducing the total cost to the energy controller. The proposed scheme is modeled through a two-stage Stackelberg game that describes the energy trading between a shared facility authority (SFA) and EUs in a smart community. A suitable cost function is proposed for the SFA to leverage the generation of discriminate pricing according to the inconvenience experienced by each EU. It is shown that the game has a unique sub-game perfect equilibrium (SPE), under the certain condition at which the SFA's total cost is minimized, and that each EU receives its best utility according to its associated inconvenience for the given price. A backward induction technique is used to derive a closed form expression for the price function at SPE, and thus the dependency of price on an EU's different decision parameters is explained for the studied system. Numerical examples are provided to show the beneficial properties of the proposed scheme.

Connected through hyperedge HE-1 (induced by source paper "price discrimination for energy trading in smart grid a game theoretic approach"):
  with members:
    - "customer engagement plans for peak load reduction in residential smart grids"
    - "cost minimization of charging stations with photovoltaics an approach with ev classification"
    - "prioritizing consumers in smart grid a game theoretic approach"
    - "three party energy management with distributed energy resources in smart grid"
    - "a game theoretic approach to energy trading in the smart grid"
    - "distributed demand response and user adaptation in smart grids"

Connected through hyperedge HE-2 (induced by source paper "customer engagement plans for peak load reduction in residential smart grids"):
  with members:
    - "energy management for a user interactive smart community a stackelberg game approach"
    - "prioritizing consumers in smart grid a game theoretic approach"
    - "demand response management for power throttling air conditioning loads in residential smart grids"
    - "three party energy management with distributed energy resources in smart grid"

Connected through hyperedge HE-3 (induced by source paper "synthetic generation of solar states for smart grid a multiple segment markov chain apptoach"):
  with members:
    - "demand response management for power throttling air conditioning loads in residential smart grids"
    - "three party energy management with distributed energy resources in smart grid"

Connected through hyperedge HE-4 (induced by source paper "demand response management for power throttling air conditioning loads in residential smart grids"):
  with members:
    - "three party energy management with distributed energy resources in smart grid"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.SY(Systems and Control)