Abstract: An energy optimization platform may receive user preference information associated with operations of assets of a microgrid. The user preference information may identify user preferences regarding reducing cost, reducing an emission of carbon dioxide, and a resilience against a power outage. The assets may include at least one of one or more solar panels, one or more generators, or one or more batteries. The energy optimization platform may receive load forecast information regarding an electrical load. The energy optimization platform may provide the user preference information and the load forecast information as inputs to an energy model. The energy model predicts, as an output, operating states of the assets based on the user preference information and the load forecast information. The energy optimization platform may determine an optimized combination of the operating states and may provide, to a microgrid controller, optimization information regarding the optimized combination of the operating states.