Sharma, DivyaDivyaSharmaPindoriya, Naran M.Naran M.Pindoriya2025-11-142025-11-142025-109.78E+1210.1002/9781394267392.ch3http://repository.iitgn.ac.in/handle/IITG2025/33474A paradigm change in the production and distribution of energy is necessary to support the net-zero energy transition in all sectors, including electricity, heating and cooling, transportation, and natural gas. The cross-sectoral interactions between energy vectors at numerous spatiotemporal scales are becoming more and more crucial to achieve improved operational efficiency, socioeconomic, and environmental benefits. In order to achieve the net-zero targets in the near future, a lot of attention is being paid to the concept known as multi-energy network hubs, which integrate and co-optimize a variety of energy resources, e.g., non-fossil-based electricity generation including renewable energy, energy storage, combined heat and power (CHP) unit, electric boiler (EB), electric chiller (EC), absorption chiller (AC), heat furnace (HF), and electric heat pump (EHP). Energy management strategies play an important role in the efficient operational planning of sustainable multi-energy network hubs. This chapter delves into the development of centralized and decentralized system architecture and mathematical modeling of multi-energy network hubs. A multi-energy scheduler based on mathematical and cooperative and non-cooperative game theory optimization is developed for optimal operation and smart energy management of the multi-energy network hub. The developed smart energy management framework is tested and validated on the standard IEEE 33-bus test system and a three-node thermal network.en-USMulti-energy network hubsCentralized and decentralized system architectureEnergy managementCooperative and non-cooperative game theoryBook Chapter