  Energy management of buildings is of vital importance for the urban
low-carbon transition. This paper proposes a sustainable energy cooperation
framework for the building community by communication-efficient peer-to-peer
transaction. Firstly, the energy cooperation of buildings is formulated as a
social welfare maximization problem, in which buildings may directly trade
energy with neighbors. In addition, considering privacy concerns and
communication losses arisen in peer-to-peer energy trading, a
communication-failure-robust distributed algorithm is developed to achieve the
optimal energy dispatch solutions. Finally, simulation results show that the
proposed framework substantially reduces the total cost of the building
community and the algorithm is robust to communication losses in the network
when only part of links (even one link) are active during iterations.
