Abstract: A building system of a building including one or more storage devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to generate one or more recommendations for improving one or more building scores, the one or more recommendations including a prediction of an increase to a level of the one or more building scores or a decrease to the level of the one or more building scores. The instructions cause the one or more processors to cause the display device of the user device of the user to display the one or more recommendations and receive, via the display device, a selection of one recommendation of the one or more recommendations via the display device from the user and operate the one or more building systems based on one or more operating settings of the one recommendation.

Abstract: A system includes a plurality of thermostats corresponding to a plurality of HVAC systems that serve a plurality of spaces and a computing system communicable with the plurality of thermostats via a network. The computing system is configured to, for each space of the plurality of spaces, obtain a set of training data relating to thermal behavior of the space, identify a model of thermal behavior of the space based on the set of training data, perform a model predictive control process using the model of thermal behavior of the space to obtain a temperature setpoint for the space, and provide the temperature setpoint to the thermostat corresponding to the HVAC system serving the space. The plurality of thermostats are configured to control the plurality of HVAC systems in accordance with the temperature setpoints.

Abstract: A method executable by a building management system includes generating a graphical user interface that includes a bar graph comprising a plurality of bars representing resource consumption values for a plurality of time periods and a line overlaid on the bar graph and representing a baseline or target resource consumption. The method also includes comparing the resource consumption values to the baseline or target resource consumption, adding a first icon aligned with a first bar of the plurality of bars in response to determining that a first resource consumption value represented by the first bar is within a threshold of the baseline or target resource consumption and less than the baseline or target resource consumption, and adding a second icon aligned with the first bar in response to determining that the first resource consumption value exceeds the baseline. The second icon is different than the first icon.

Abstract: A system includes a plurality of thermostats corresponding to a plurality of HVAC systems that serve a plurality of spaces and a computing system communicable with the plurality of thermostats via a network. The computing system is configured to, for each space of the plurality of spaces, obtain a set of training data relating to thermal behavior of the space, identify a model of thermal behavior of the space based on the set of training data, perform a model predictive control process using the model of thermal behavior of the space to obtain a temperature setpoint for the space, and provide the temperature setpoint to the thermostat corresponding to the HVAC system serving the space. The plurality of thermostats are configured to control the plurality of HVAC systems in accordance with the temperature setpoints.

Abstract: A system includes a plurality of thermostats corresponding to a plurality of HVAC systems that serve a plurality of spaces and a computing system communicable with the plurality of thermostats via a network. The computing system is configured to, for each space of the plurality of spaces, obtain a set of training data relating to thermal behavior of the space, identify a model of thermal behavior of the space based on the set of training data, perform a model predictive control process using the model of thermal behavior of the space to obtain a temperature setpoint for the space, and provide the temperature setpoint to the thermostat corresponding to the HVAC system serving the space. The plurality of thermostats are configured to control the plurality of HVAC systems in accordance with the temperature setpoints.

Abstract: A building system of a building including one or more storage devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to generate one or more recommendations for improving one or more building scores, the one or more recommendations including a prediction of an increase to a level of the one or more building scores or a decrease to the level of the one or more building scores. The instructions cause the one or more processors to cause the display device of the user device of the user to display the one or more recommendations and receive, via the display device, a selection of one recommendation of the one or more recommendations via the display device from the user and operate the one or more building systems based on one or more operating settings of the one recommendation.

Abstract: A building system of a building including one or more storage devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to receive building data from one or more building systems of the building, generate, based on the building data, an overall building score of the building based on one or more space parameters indicating health levels of spaces of the building, one or more planet health parameters indicating an effect of operations performed by the one or more building systems of the building on environmental pollution, and one or more people parameters indicating at least one of physical or mental health of occupants of the building. The instructions cause the one or more processors to implement one or more updates to the one or more building systems of the building.

Abstract: A system includes a plurality of thermostats corresponding to a plurality of HVAC systems that serve a plurality of spaces and a computing system communicable with the plurality of thermostats via a network. The computing system is configured to, for each space of the plurality of spaces, obtain a set of training data relating to thermal behavior of the space, identify a model of thermal behavior of the space based on the set of training data, perform a model predictive control process using the model of thermal behavior of the space to obtain a temperature setpoint for the space, and provide the temperature setpoint to the thermostat corresponding to the HVAC system serving the space. The plurality of thermostats are configured to control the plurality of HVAC systems in accordance with the temperature setpoints.

Abstract: A facility management portal and associated user interface can be used for remote monitoring, servicing, and commissioning of a Building Management System (BMS) and associated devices. Building stakeholders can use the facility management portal to configure smart thermostat devices with various settings or parameters associated therewith. For example, building stakeholders may create device profiles associated with smart thermostat devices and provide different device profiles to different groups of thermostat devices installed in a building. Moreover, stakeholders can use the facility management portal to monitor data such as energy consumption and air quality associated with buildings. Building tenants can interact with control devices such as smart thermostats and associated mobile applications to initiate maintenance or emergency notifications relayed through the facility management portal.