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: "load shifting in the smart grid to participate or not"
  Abstract: Demand-side management (DSM) has emerged as an important smart grid feature that allows utility companies to maintain desirable grid loads. However, the success of DSM is contingent on active customer participation. Indeed, most existing DSM studies are based on game-theoretic models that assume customers will act rationally and will voluntarily participate in DSM. In contrast, in this paper, the impact of customers' subjective behavior on each other's DSM decisions is explicitly accounted for. In particular, a noncooperative game is formulated between grid customers in which each customer can decide on whether to participate in DSM or not. In this game, customers seek to minimize a cost function that reflects their total payment for electricity. Unlike classical game-theoretic DSM studies which assume that customers are rational in their decision-making, a novel approach is proposed, based on the framework of prospect theory (PT), to explicitly incorporate the impact of customer behavior on DSM decisions. To solve the proposed game under both conventional game theory and PT, a new algorithm based on fictitious player is proposed using which the game will reach an epsilon-mixed Nash equilibrium. Simulation results assess the impact of customer behavior on demand-side management. In particular, the overall participation level and grid load can depend significantly on the rationality level of the players and their risk aversion tendency.

Connected through hyperedge HE-1 (induced by source paper "managing price uncertainty in prosumer centric energy trading a prospect theoretic stackelberg game approach"):
  with members:
    - "reactive power compensation game under prospect theoretic framing effects"
    - "prospect theory for enhanced smart grid resilience using distributed energy storage"
    - "stochastic games for smart grid energy management with prospect prosumers"
    - "towards a consumer centric grid a behavioral perspective"
    - "prospect pricing in cognitive radio networks"
    - "integrating energy storage into the smart grid a prospect theoretic approach"

Connected through hyperedge HE-2 (induced by source paper "smart routing of electric vehicles for load balancing in smart grids"):
  with members:
    - "optimal pricing to manage electric vehicles in coupled power and transportation networks"
    - "fragility of the commons under prospect theoretic risk attitudes"
    - "stochastic games for smart grid energy management with prospect prosumers"
    - "towards a consumer centric grid a behavioral perspective"
    - "charging games in networks of electrical vehicles"
    - "playing the wrong game smoothness bounds for congestion games with behavioral biases"

Connected through hyperedge HE-3 (induced by source paper "game theoretic electric vehicle charging management resilient to non ideal user behavior"):
  with members:
    - "game theoretic demand side management robust to non ideal consumer behavior in smart grid"
    - "competitive energy trading framework for demand side management in neighborhood area networks"
    - "towards a consumer centric grid a behavioral perspective"
    - "integrating energy storage into the smart grid a prospect theoretic approach"
    - "demand side management in smart grids using a repeated game framework"

Connected through hyperedge HE-4 (induced by source paper "model predictive control for smart grids with multiple electric vehicle charging stations"):
  with members:
    - "cost minimization of charging stations with photovoltaics an approach with ev classification"
    - "a game theoretic approach to energy trading in the smart grid"

Connected through hyperedge HE-5 (induced by source paper "stochastic games for smart grid energy management with prospect prosumers"):
  with members:
    - "towards a consumer centric grid a behavioral perspective"
    - "cumulative prospect theory meets reinforcement learning prediction and control"
    - "integrating energy storage into the smart grid a prospect theoretic approach"
    - "cooperation and storage tradeoffs in power grids with renewable energy resources"
    - "a game theoretic approach to energy trading in the smart grid"
    - "optimal power cost management using stored energy in data centers"
    - "learning equilibria with partial information in decentralized wireless networks"

Connected through hyperedge HE-6 (induced by source paper "game theoretic demand side management robust to non ideal consumer behavior in smart grid"):
  with members:
    - "competitive energy trading framework for demand side management in neighborhood area networks"
    - "integrating energy storage into the smart grid a prospect theoretic approach"

Connected through hyperedge HE-7 (induced by source paper "towards a consumer centric grid a behavioral perspective"):
  with members:
    - "integrating energy storage into the smart grid a prospect theoretic approach"
    - "prioritizing consumers in smart grid a game theoretic approach"
    - "a game theoretic approach to energy trading in the smart grid"
    - "electrical vehicles in the smart grid a mean field game analysis"

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.GT(Computer Science and Game Theory)