Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for shaping compute load using virtual capacity. In one aspect, a method includes obtaining a load forecast that indicates forecasted future compute load for a cell, obtaining a power model that models a relationship between power usage and computational usage for the cell, obtaining a carbon intensity forecast that indicates a forecast of carbon intensity for a geographic area where the cell is located, determining a virtual capacity for the cell based on the load forecast, the power model, and the carbon intensity forecast, and providing the virtual capacity for the cell to the cell.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for shaping compute load using virtual capacity. In one aspect, a method includes obtaining a load forecast that indicates forecasted future compute load for a cell, obtaining a power model that models a relationship between power usage and computational usage for the cell, obtaining a carbon intensity forecast that indicates a forecast of carbon intensity for a geographic area where the cell is located, determining a virtual capacity for the cell based on the load forecast, the power model, and the carbon intensity forecast, and providing the virtual capacity for the cell to the cell.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for shaping compute load using virtual capacity. In one aspect, a method includes obtaining a load forecast that indicates forecasted future compute load for a cell, obtaining a power model that models a relationship between power usage and computational usage for the cell, obtaining a carbon intensity forecast that indicates a forecast of carbon intensity for a geographic area where the cell is located, determining a virtual capacity for the cell based on the load forecast, the power model, and the carbon intensity forecast, and providing the virtual capacity for the cell to the cell.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for shaping compute load using virtual capacity. In one aspect, a method includes obtaining a load forecast that indicates forecasted future compute load for a cell, obtaining a power model that models a relationship between power usage and computational usage for the cell, obtaining a carbon intensity forecast that indicates a forecast of carbon intensity for a geographic area where the cell is located, determining a virtual capacity for the cell based on the load forecast, the power model, and the carbon intensity forecast, and providing the virtual capacity for the cell to the cell.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for shaping compute load using virtual capacity. In one aspect, a method includes obtaining a load forecast that indicates forecasted future compute load for a cell, obtaining a power model that models a relationship between power usage and computational usage for the cell, obtaining a carbon intensity forecast that indicates a forecast of carbon intensity for a geographic area where the cell is located, determining a virtual capacity for the cell based on the load forecast, the power model, and the carbon intensity forecast, and providing the virtual capacity for the cell to the cell.

Abstract: Provided are methods, systems, devices, apparatuses, and tangible non-transitory computer readable media for network topology analysis and prediction. The disclosed technology can perform operations including receiving network data including information associated with a network including a plurality of nodes respectively associated with resource availability and resource usage. Resource availability can be associated with an amount of a resource available for distribution from a portion of the plurality of nodes at an initial time interval. Further, resource usage can be associated with usage of the resource from the portion of the plurality of nodes at the initial time interval. The network topology, resource availability, and resource usage for a portion of the plurality of nodes at a time interval subsequent to the initial time interval can be determined. Furthermore, one or more predictions for the portion of the plurality of nodes can be generated based on the network data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for shaping compute load using virtual capacity. In one aspect, a method includes obtaining a load forecast that indicates forecasted future compute load for a cell, obtaining a power model that models a relationship between power usage and computational usage for the cell, obtaining a carbon intensity forecast that indicates a forecast of carbon intensity for a geographic area where the cell is located, determining a virtual capacity for the cell based on the load forecast, the power model, and the carbon intensity forecast, and providing the virtual capacity for the cell to the cell.

Abstract: A thermostat management server may include one or more processors and one or more memory devices comprising instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising receiving information that characterizes energy usage associated with the plurality of thermostats, receiving parameters characterizing proposed future demand-response events, selecting a combination of thermostats from the plurality of thermostats for which the energy usage can be reduced, simulating a demand response event based on the parameters and using different weather conditions for the combination of the plurality of thermostats, generating statistical probabilities of meeting a plurality of capacity reduction levels based on the different weather conditions, selecting a capacity reduction level from the plurality of capacity reduction levels based on the statistical probabilities, and sending the capacity reduction level to the utility provider computer system.

Abstract: A thermostat management server may include one or more processors and one or more memory devices comprising instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising receiving information that characterizes energy usage associated with the plurality of thermostats, receiving parameters characterizing proposed future demand-response events, selecting a combination of thermostats from the plurality of thermostats for which the energy usage can be reduced, simulating a demand response event based on the parameters and using different weather conditions for the combination of the plurality of thermostats, generating statistical probabilities of meeting a plurality of capacity reduction levels based on the different weather conditions, selecting a capacity reduction level from the plurality of capacity reduction levels based on the statistical probabilities, and sending the capacity reduction level to the utility provider computer system.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for electrical load management. One of the systems includes a first electrical grid, one or more power sources coupled to the first electrical grid, a second electrical grid coupled to the first electrical grid by a power conversion system, one or more loads coupled to the second electrical grid, and one or more load control systems coupled to the one or more loads. A grid control system is configured to receive source information from the first electrical grid and send load instructions to the load control systems based on the source information.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for electrical load management. One of the systems includes a first electrical grid, one or more power sources coupled to the first electrical grid, a second electrical grid coupled to the first electrical grid by a power conversion system, one or more loads coupled to the second electrical grid, and one or more load control systems coupled to the one or more loads. A grid control system is configured to receive source information from the first electrical grid and send load instructions to the load control systems based on the source information.

Abstract: A computer-implemented method for defining a segment based on interaction proneness includes receiving online activity data that specifies instances of presentation for one or more content items, and instances of user interaction detected for any of the content items. The method includes training at least one predictive model on the online activity data, the predictive model trained to predict interaction proneness based on one or more characteristics associated with the instances of user interaction. The method includes identifying, using the predictive model, at least one of the characteristics as being associated with the interaction proneness. The method includes generating at least one segment definition that takes into account the identified characteristic.

Abstract: Method and apparatus for information boosting in related but disconnected databases, in one aspect, may comprise identifying disconnected data sources comprising data that are related or dependent on one another, determining one or more relationships and dependencies among the disconnected data, and refining the data sources based on one or more relationships and dependencies.

Abstract: Method and apparatus for information boosting in related but disconnected databases, in one aspect, may comprise identifying disconnected data sources comprising data that are related or dependent on one another, determining one or more relationships and dependencies among the disconnected data, and refining the data sources based on one or more relationships and dependencies.

Abstract: A method (and structure) for end-to-end workforce management, includes identifying sources of data that together reflect data of substantially the entirety of a workforce of an organization, identifying service components related to the workforce, and combining the data sources and service components into an integrated framework to support an end-to-end workforce management cycle.

Abstract: A workforce management tool includes an input section that receives data from one or more data sources that together reflect data of substantially an entirety of a workforce of an organization. A plurality of service modules receive and process the data in accordance with requirements of different segments of the organization. The plurality of service modules are interconnected so that a user in a segment of the organization can selectively view any data of the workforce tool that is related to that segment.

Abstract: A structure (and method) for a computerized organization optimization tool includes an input port to receive one or more of: characteristics of at least one offering of the organization; characteristics of resources of the organization; and characteristics of constraints of at least one of the resources and the at least one offering. A calculator receives the characteristics to calculate one or more optimal targets for the organization.

Abstract: A method of managing resources, includes identifying a project or service opportunity that has disparate resource attribute requirements. At least one of internal and external flexible resources suitable for the project or service opportunities are also identified. The internal and external flexible resources are correlated with the disparate resource attribute requirements for managing a risk associated with the project or service opportunity.