Energy storage systems play a crucial role in decreasing building energy consumption during peak periods and expanding the use of renewable energies in buildings and communities. To have a high system performance, the energy storage system has to be properly controlled while maintaining a comfortable thermal environment for the occupants. However, defining the optimal charging period for a storage system may be difficult since storage systems address issues with conflicting needs between cost saving and thermal comfort. Moreover, with the increase of the use of renewable energies, the complexity increases with the consideration of the renewable energy production. As a result, the decision process should be able to predict both loads and renewable energy production in order to increase the storage system efficiency. This necessity explains the increasing interest during the last decade for predictive control, i.e., control system considering the forecasting. This paper reviews the recent advancements in building predictive control with energy storage system. Special attention is paid to its limitations and abilities. (C) 2017 Elsevier B.V. All rights reserved.