Abstract: A decision dashboard system to balance competing objectives in a control system suggests control parameter settings for the control system based on specified weights for the competing objectives. For example, given a target amount of energy consumption for a campus-wide, heating, ventilation, and air conditioning (HVAC) control system, providing an optimal amount of climate control to the different campus locations may compete against the length of time climate control is provided to each of the locations. In some aspects, sets of control system settings may be used to predict outcomes based on a history of control parameter settings and measurements from the control system. In further aspects, the predicted outcomes and their associated control parameter settings may be mapped to different weights for the competing objectives and displayed in a graphical user interface.

Abstract: A decision dashboard system to balance competing objectives in a control system suggests control parameter settings for the control system based on specified weights for the competing objectives. For example, given a target amount of energy consumption for a campus-wide, heating, ventilation, and air conditioning (HVAC) control system, providing an optimal amount of climate control to the different campus locations may compete against the length of time climate control is provided to each of the locations. In some aspects, sets of control system settings may be used to predict outcomes based on a history of control parameter settings and measurements from the control system. In further aspects, the predicted outcomes and their associated control parameter settings may be mapped to different weights for the competing objectives and displayed in a graphical user interface.