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: "achieving the dispatchability of distribution feeders through prosumers data driven forecasting and model predictive control of electrochemical storage"
  Abstract: We propose and experimentally validate a process to dispatch the operation of a distribution feeder with heterogeneous prosumers according to a trajectory with 5 min resolution, called  dispatch plan , established the day before the operation. The controllable element is a utility-scale grid-connected battery energy storage system (BESS) integrated with a minimally pervasive monitoring infrastructure. The process consists of two stages: day-ahead, where the  dispatch plan  is determined by using forecast of the aggregated consumption and local distributed generation (prosumption), and real-time operation, where the mismatch between the actual prosumption realization and dispatch plan is compensated for thanks to adjusting the real power injections of the BESS with model predictive control (MPC). MPC accounts for BESS operational constraints thank to reduced order dynamic grey-box models identified from online measurements. The experimental validation is performed by using a grid-connected 720 kVA/500 kWh BESS to dispatch the operation of a 20-kV distribution feeder of the Ecole Polytechnique Federale de Lausanne campus with both conventional consumption and distributed photo-voltaic generation.

Connected through hyperedge HE-1 (induced by source paper "towards optimality preserving aggregation for scheduling distributed energy resources"):
  with members:
    - "robustly maximal utilisation of energy constrained distributed resources"

Connected through hyperedge HE-2 (induced by source paper "reliable dispatch of renewable generation via charging of dynamic pev populations"):
  with members:
    - "storage scheduling with stochastic uncertainties feasibility and cost of imbalances"
    - "the matlab toolbox scixminer user s manual and programmer s guide"
    - "nearest neighbor based non parametric probabilistic forecasting with applications in photovoltaic systems"

Connected through hyperedge HE-3 (induced by source paper "unsupervised disaggregation of photovoltaic production from composite power flow measurements of heterogeneous prosumers"):
  with members:
    - "photovoltaic model based solar irradiance estimators performance comparison and application to maximum power forecasting"
    - "towards real time estimation of solar generation from micro synchrophasor measurements"

Connected through hyperedge HE-4 (induced by source paper "an admm based coordination and control strategy for pv and storage to dispatch stochastic prosumers theory and experimental validation"):
  with members:
    - "photovoltaic model based solar irradiance estimators performance comparison and application to maximum power forecasting"

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)