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: "customer engagement plans for peak load reduction in residential smart grids"
  Abstract: In this paper, we propose and study the effectiveness of customer engagement plans that clearly specify the amount of intervention in customer's load settings by the grid operator for peak load reduction. We suggest two different types of plans, including Constant Deviation Plans (CDPs) and Proportional Deviation Plans (PDPs). We define an adjustable reference temperature for both CDPs and PDPs to limit the output temperature of each thermostat load and to control the number of devices eligible to participate in Demand Response Program (DRP). We model thermostat loads as power throttling devices and design algorithms to evaluate the impact of power throttling states and plan parameters on peak load reduction. Based on the simulation results, we recommend PDPs to the customers of a residential community with variable thermostat set point preferences, while CDPs are suitable for customers with similar thermostat set point preferences. If thermostat loads have multiple power throttling states, customer engagement plans with less temperature deviations from thermostat set points are recommended. Contrary to classical ON/OFF control, higher temperature deviations are required to achieve similar amount of peak load reduction. Several other interesting tradeoffs and useful guidelines for designing mutually beneficial incentives for both the grid operator and customers can also be identified.

Connected through hyperedge HE-1 (induced by source paper "peer to peer energy trading with sustainable user participation a game theoretic approach"):
  with members:
    - "managing price uncertainty in prosumer centric energy trading a prospect theoretic stackelberg game approach"
    - "energy storage sharing in smart grid a modified auction based approach"
    - "towards a consumer centric grid a behavioral perspective"
    - "price discrimination for energy trading in smart grid a game theoretic approach"
    - "cooperation and storage tradeoffs in power grids with renewable energy resources"
    - "prioritizing consumers in smart grid a game theoretic approach"
    - "three party energy management with distributed energy resources in smart grid"
    - "coalitional games with overlapping coalitions for interference management in small cell networks"

Connected through hyperedge HE-2 (induced by source paper "policy design for controlling set point temperature of acs in shared spaces of buildings"):
  with members:
    - "prioritizing consumers in smart grid a game theoretic approach"
    - "model predictive hvac control with online occupancy model"

Connected through hyperedge HE-3 (induced by source paper "system design of internet of things for residential smart grid"):
  with members:
    - "smart grid testbed for demand focused energy management in end user environments"
    - "three party energy management with distributed energy resources in smart grid"

Connected through hyperedge HE-4 (induced by source paper "price discrimination for energy trading in smart grid a game theoretic approach"):
  with members:
    - "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"
    - "feasibility of using discriminate pricing schemes for energy trading 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-5 (induced by source paper "energy storage sharing in smart grid a modified auction based approach"):
  with members:
    - "cost minimization of charging stations with photovoltaics an approach with ev classification"
    - "price discrimination for energy trading in smart grid a game theoretic approach"
    - "prioritizing consumers in smart grid a game theoretic approach"
    - "three party energy management with distributed energy resources in smart grid"

Connected through hyperedge HE-6 (induced by source paper "cost minimization of charging stations with photovoltaics an approach with ev classification"):
  with members:
    - "synthetic generation of solar states for smart grid a multiple segment markov chain apptoach"
    - "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)