Building owners are increasingly opting to install PV and energy storage to manage onsite energy costs and demand charges. However, these technologies are often procured separately without leveraging the advantages of having a comprehensive solar + storage solution, which has been shown to maximize customer bill savings and minimize payback time. There is a need to develop a standardized, replicable solar + storage solution for buildings that can optimize individual customer cost reduction while supporting distribution grid functions. This project developed and evaluated advanced technologies that exploit the synergies between solar and stationary energy storage to enhance the value of behind-the-meter solar + storage to individual commercial or industrial buildings to enable the building to reduce capital, operating, and management costs, and also incorporate smart building energy management approaches and operational strategies to support local grid operations, in particular this project focused on developing a machine learning enabled technology solution that can be widely replicated for similar building types across the state.