Abstract: A method for controlling an energy storage system which includes receiving time-series data and customer specific data and developing one or more customer specific control models based, at least in part, on the time-series data and the customer specific data. After developing one or more customer specific control models, the method proceeds by training the customer specific control models and then deploying the customer specific control model to the customer for use by the customer to determine which of a plurality of modes the energy storage system should be in. The method may include the development, deployment and/or execution of one or more centralized control models for controlling a network of any combination of common and/or different customer control models.

Abstract: A method for controlling an energy storage system which includes receiving time-series data and customer specific data and developing one or more customer specific control models based, at least in part, on the time-series data and the customer specific data. After developing one or more customer specific control models, the method proceeds by training the customer specific control models and then deploying the customer specific control model to the customer for use by the customer to determine which of a plurality of modes the energy storage system should be in. The method may include the development, deployment and/or execution of one or more centralized control models for controlling a network of any combination of common and/or different customer control models.

Abstract: A method for controlling an energy storage system which includes receiving time-series data and customer specific data and developing one or more customer specific control models based, at least in part, on the time-series data and the customer specific data. After developing one or more customer specific control models, the method proceeds by training the customer specific control models and then deploying the customer specific control model to the customer for use by the customer to determine which of a plurality of modes the energy storage system should be in. The method may include the development, deployment and/or execution of one or more centralized control models for controlling a network of any combination of common and/or different customer control models.

Abstract: A thruster comprising: a chamber to contain a fluid; a plurality of nozzles to exhaust neutral particles derived from the fluid in the chamber, wherein each nozzle has a converging section and the converging section includes a first electrode; a second electrode located distal to the first electrode to provide a voltage differential between the first and second electrodes sufficient to create plasma ions from the fluid and the voltage differential accelerates the plasma ions on a flow path through the converging section, and wherein at least one or more of the accelerated plasma ions are neutralised to form the neutral particles by charge exchange with other neutral particles, or by recombination with electrons, on the flow path.

Abstract: A method for controlling an energy storage system which includes receiving time-series data and customer specific data and developing one or more customer specific control models based, at least in part, on the time-series data and the customer specific data. After developing one or more customer specific control models, the method proceeds by training the customer specific control models and then deploying the customer specific control model to the customer for use by the customer to determine which of a plurality of modes the energy storage system should be in. The method may include the development, deployment and/or execution of one or more centralized control models for controlling a network of any combination of common and/or different customer control models.