A prediction of an electric power consumption and/or a generation of at least one of a load and a source coupled to an electric power grid is generated responsive to a forecast of an event. A desired state of an asset on the grid is identified responsive to the prediction. A functional representation of a control scheme for the asset is identified based on a sensitivity of the control parameter to a variance in operation of the electric power grid with respect to the prediction.

A controller for building equipment that operate to provide heating or cooling for a building or campus. The controller includes a processing circuit configured to perform an optimization of an objective function subject to an override constraint to determine amounts of one or more resources to be produced by the building equipment and control the building equipment to produce the amounts of the one or more resources determined by performing the optimization subject to the override constraint. The override constraint overrides an output of the optimization by specifying an override amount of a first resource of the one or more resources to be produced by a first subset of the building equipment.

Systems and methods for intelligent data center power management and energy market disaster recovery comprised of data collection layer, infrastructure elements, application elements, power elements, virtual machine elements, analytics/automation/actions layer, analytics or predictive analytics engine, automation software, actions software, energy markets analysis layer and software and intelligent energy market analysis elements or software. Plurality of data centers employ the systems and methods comprised of a plurality of Tier 2 data centers that may be running applications, virtual machines and physical computer systems to enable data center and application disaster recovery from utility energy market outages. Systems and methods may be employed to enable application load balancing and data center power load balancing across a plurality of data centers and may lead to financial benefits when moving application and power loads from one data center location using power during peak energy hours to another data center location using power during off peak hours.

An illustrative network management system obtains sensor data from one or more sensors at a network facility at which network equipment of a communication network is deployed. The sensor data includes image data representing imagery of the network facility. The system determines a utilization of a utility at the network facility based on the sensor data and performs, based on the utilization, a management operation for the communication network. Corresponding methods and systems are also described.

Embodiments of systems and methods for power demand management are described herein. More specifically, embodiments comprise systems and methods for powering, controlling, and/or operating various types of controllable load for integration with power fluctuations from intermittent power generation plants, such as photovoltaic arrays and wind turbine farms.

The disclosure relates to a device configured to optimize an energy storage strategy of a community comprising a plurality of households. Further, the disclosure relates to a cloud computing device configured to optimize an energy storage strategy of a community comprising a plurality of households. Further, the disclosure relates to an electric vehicle associated with a household in a community comprising a plurality of households, the electric vehicle comprising a battery aging model indicative of a battery aging status of a battery pack of said electric vehicle. Further, the disclosure relates to methods directed to optimize energy storage of households and communities.

Transaction-enabled methods for providing provable access to a distributed ledger with a tokenized instruction set for semiconductor fabrication processes are described. A method may include accessing a distributed ledger including an instruction set for a semiconductor fabrication process and tokenizing the instruction set. The method may further include interpreting an instruction set access request and, in response to the access request, providing a provable access to the instruction set. The method may further include providing commands to a production tool of the semiconductor fabrication process in response to the instruction set access request, and recording the transaction on the distributed ledger.

Transaction-enabled methods for providing provable access to a distributed ledger with a tokenized instruction set for biological production processes are described. A method may include accessing a distributed ledger comprising an instruction set for a biological production process and tokenizing the instruction set. The method may further include interpreting an instruction set access request and, in response to the access request, providing a provable access to the instruction set. The method may further include providing commands to a production tool of the biological production process in response to the instruction set access request and recording the transaction on the distributed ledger.

Transaction-enabled methods for providing provable access to a distributed ledger with a tokenized instruction set for polymer production processes are described. A method may include accessing a distributed ledger comprising an instruction set for a polymer production process and tokenizing the instruction set. The method may further include interpreting an instruction set access request and providing a provable access to the instruction set. The method may further include providing commands to a production tool of the polymer production process and recording the transaction on the distributed ledger.

A system includes an energy storage device geographically proximate a plurality of load centers. The energy storage device is coupled to one or more of the plurality of load centers for supplying energy to the load centers and is also coupled to an energy generation source for receiving energy from the energy generation source. The system also includes a control system that is operable to receive energy market data, monitor the plurality of load centers, the energy storage device, and the energy generation source, and control the charging and dispatching of the energy storage device based on the monitoring and the energy market data.