Abstract: Systems and a method for forecasting data at noninstrumented substations from data collected at instrumented substations is provided. An example method includes determining a cluster id for a noninstrumented substation, creating a model from data for instrumented substations having the cluster id, and forecasting the data for the noninstrumented station from the model.

Abstract: Systems and techniques for tolerance-based intelligent edge network energy delivery are described herein. A flexibility metric may be calculated for a node of the edge network. The flexibility metric of the node and flexibility metrics of a set of additional nodes of the edge network may be ranked to create a set of flexibility ranked edge nodes. A notification may be received of a demand response event. A candidate node subset may be identified from the set of flexibility ranked nodes based on requirements of the demand response event and a ranked order the set of flexibility ranked nodes. A demand response command may be transmitted to the candidate node subset upon determining that the candidate node subset satisfies the requirements of the demand response event. The demand response command may cause nodes of the candidate node subset to alter energy consumption for a time period of demand response event.

Abstract: Techniques and mechanisms for determining constraints to be imposed on resource utilization by customers of an electric utility. In an embodiment, flexibility metrics are determined each for a different respective customer, the flexibility metrics each indicating a respective difference between a metric of resource utilization, and a respective constraint which is imposed on that resource utilization. The customers are ranked, relative to one another, based on the flexibility metrics, where the ranking is used as a basis for selecting one or more customers to accommodate a change to a power delivery service of the electric utility. In another embodiment, one or more updated utilization constraints are imposed each by a respective customer of one or more selected customers.

Abstract: Systems and techniques for tolerance-based intelligent edge network energy delivery are described herein. A flexibility metric may be calculated for a node of the edge network. The flexibility metric of the node and flexibility metrics of a set of additional nodes of the edge network may be ranked to create a set of flexibility ranked edge nodes. A notification may be received of a demand response event. A candidate node subset may be identified from the set of flexibility ranked nodes based on requirements of the demand response event and a ranked order the set of flexibility ranked nodes. A demand response command may be transmitted to the candidate node subset upon determining that the candidate node subset satisfies the requirements of the demand response event. The demand response command may cause nodes of the candidate node subset to alter energy consumption for a time period of demand response event.

Abstract: Systems and a method for forecasting data at noninstrumented substations from data collected at instrumented substations is provided. An example method includes determining a cluster id for a noninstrumented substation, creating a model from data for instrumented substations having the cluster id, and forecasting the data for the noninstrumented station from the model.

Abstract: Techniques and mechanisms for determining constraints to be imposed on resource utilization by customers of an electric utility. In an embodiment, flexibility metrics are determined each for a different respective customer, the flexibility metrics each indicating a respective difference between a metric of resource utilization, and a respective constraint which is imposed on that resource utilization. The customers are ranked, relative to one another, based on the flexibility metrics, where the ranking is used as a basis for selecting one or more customers to accommodate a change to a power delivery service of the electric utility. In another embodiment, one or more updated utilization constraints are imposed each by a respective customer of one or more selected customers.

Abstract: Disclosed is a computing device. The computing device can include a processor and a memory. The memory can store instructions that, when executed by the processor, can cause the processor to perform operations. The operations can comprise determining a computational burden for a component of an application, developing a cost model, and generating resource provisioning set points. The component of the application can execute at a specified performance level. The cost model can specify a cost to execute the component of the application over a range of performance levels. The range of performance levels can include the specified performance level. Each of the resource provisioning set points can indicate a quantity of compute nodes assigned for each phase of the component of the application. The quantity of compute nodes can be based on the specified performance level and the cost to execute the component of the application.

Abstract: Methods and systems for electronically representing records of obligations are provided. The records are stored such that content describing an obligation from an obligor to an obligee is unalterable, identifiable as current and authentic, and non-repudiable. Transfers of ownership of the obligation may also be controlled and recorded using the electronic records. An obligation may not be recorded as being transferred without the consent of the of the current owner of the obligation. Security interests in obligations may also be recorded. The secured party may be able to control transfer of ownership of the obligations and modification of the electronic records. In preferred embodiments, these features may be achieved by using various digital signature and encryption techniques.