Systems and methods for automatically selecting actions to take on a utility grid to simultaneously reduce uncertainty while selecting actions that improve one or more effectiveness metrics. Grid action effects are represented as confidence intervals, the overlap of which is used as a weight when selecting actions within a constrained search space of grid actions. The response of the utility grid to the grid actions may be measured and parsed by the temporal and spatial reach of the grid action, then used to update the confidence intervals for that particular selected grid action.

A facility providing systems and methods for managing and optimizing energy consumption and/or production is provided. The facility provides techniques for optimizing energy-consuming and energy-producing systems to meet specified demands or goals in accordance with various constraints. The facility relies on models to generate an optimization for an energy system. In order to use generic models to simulate and optimize energy consumption for an energy system, the generic models are calibrated to properly represent or approximate conditions of the energy system during the optimization period. After the appropriate models have been calibrated for a given situation using one or more modeling parameter sets, the facility can simulate inputs and responses for the corresponding system. The facility uses the generated simulations to generate a plan or control schedule to be implemented by the energy system during the optimization period.

Methods and apparatus to execute a workload in an edge environment are disclosed. An example apparatus includes a node scheduler to accept a task from a workload scheduler, the task including a description of a workload and tokens, a workload executor to execute the workload, the node scheduler to access a result of execution of the workload and provide the result to the workload scheduler, and a controller to access the tokens and distribute at least one of the tokens to at least one provider, the provider to provide a resource to the apparatus to execute the workload.

The present disclosure describes transaction-enabling systems and methods. A system can include a controller and a fleet of machines, each having at least one of a compute task requirement, a networking task requirement, and an energy consumption task requirement. The controller may include a resource requirement circuit to determine an amount of a resource for each of the machines to service the task requirement for each machine, a forward resource market circuit to access a forward resource market, and a resource distribution circuit to execute an aggregated transaction of the resource on the forward resource market.

A method includes obtaining a set of pressure measurements at an electronic pump and storing the set of pressure measurements in a memory storage, where each measurement time of the set of pressure measurements is within a measurement duration. The method includes determining and sending a measure of central tendency to a second computing device via a first wireless signal. The method also includes determining a subset of pressure measurements based on the set of pressure measurements. The method includes transferring the first subset of pressure measurements to a data collection device via a second wireless signal, wherein an operating frequency of the second wireless signal is greater than one gigahertz and deleting the first subset of measurements from the memory storage.

A method and controller for controlling electrical activation of elements in a system. A method includes identifying (710) a first element (102) of a system (100) by a control system (600), among a plurality of elements (102, 110, 122) of the system (100), that is to be powered. The method includes determining (712) connected elements (110, 122) of the system (100) by the control system (600). The connected elements (110, 122) are connected to deliver power to the first element (102) directly or indirectly, based on an adjacency matrix (400), and the adjacency matrix (400) identifies connections between each of plurality of elements of the system (100). The method includes identifying (714) at least one of the connected elements (110, 122) to activate by the control system (600), based on the adjacency matrix (400), a health table (500), and the connected elements (110, 122), to deliver power to the first element (102). The method includes activating (716) the at least one of the connected elements (110, 122) by the control system (600), thereby delivering power to the first element (102).

Example implementations described herein involve a generic dynamic time-series hosting capacity analysis framework, which take into account distributed energy resources (DERs) dynamics and system dynamics. The example implementations described herein can further improve the computational efficiency and accuracy of hosting capacity analysis process. Example implementations can involve systems and methods that receive data input comprising system profiles and topology information of a distribution system having a plurality of DER nodes in an interconnect; execute feeder topology analysis on the topology information to generate output analysis; execute scenario management on the system profiles to generate simulation scenario sets; and load and execute a simulation flow from the simulation scenario sets and the output analysis.

Systems, methods, and non-transitory computer-readable storage media for a fast power network simulator. A system configured per this disclosure can use identify a power network, the power network comprising generators, transmission lines, and loads, and receive a model of the power network. The model of the power network can include: models of the generators modeled as differential equations, and models of the transmission lines and the loads modeled as algebraic equations. The system can convert, via a processor, the algebraic equations of the models of the transmission lines and the loads to additional differential equations, then combine, via the processor, the differential equations and the additional differential equations, to yield combined differential equations. The system can then iteratively solve linear equations, via the processor, associated with the combined differential equations, to yield solutions, and output the solutions as part of a power simulation of the power network.

A method is provided for remotely and securely accessing a modem is provided that uses an encrypted authentication token with a modem password. The method includes receiving an encrypted authentication token from the modem, the authentication token having a modem password stored in secure memory and being encrypted according to a public key, transmitting the encrypted authentication token to an authentication server. receiving a decrypted authentication token from the authentication server, the decrypted authentication token comprising the modem password, generating an authentication key and a privacy key from the modem password, configuring modem interfaces at least in part using the authentication token, the modem interfaces including a network management protocol interface and communicating with the modem using the network management protocol interface according to at least one of the generated authentication key and the privacy key.

Systems and methods for aggregating and integrating distributed grid element inputs are disclosed. A data platform is provided for a distribution power grid. The data platform provides a crowd-sourced gaming system for identifying grid elements and determining dynamic electric power topology. The data platform also provides an interactive interface for displaying a view of a certain area with identified grid elements. The data platform communicatively connects to the identified grid elements, collects data from the identified grid elements, and manages the distribution power grid.