Abstract: One example aspect of the present disclosure relates to a method. The method can include receiving, by one or more computing devices, an input related to power consumption. The method can include filtering, by the one or more computing devices, the received input. The method can include classifying, by the one or more computing devices, the filtered input into one zone of a plurality of zones. The method can include determining, by the one or more computing devices, a setting associated with the classified zone. The setting can determine power production during an idle setting. The method can include causing, by the one or more computing devices, an adjustment to the determined setting at a rate determined by a rate limit.

Abstract: Generation of models in real time embedded systems that approximate non-embedded models while reducing a complexity associated with the non-embedded models is provided herein. A system can comprise a memory coupled to a processor. The memory stores executable components executed by the processor. The executable components can comprise an evaluation manager component that identifies an input parameter of a first model based on a defined output parameter of the first model and a relation manager component that determines one or more relations in the first model. Relations of the one or more relations can comprise an intermediary parameter determined based on the input parameter and the defined output parameter of the first model. Further, the system can comprise a model generator manager component that generates a second model that approximates the first model and includes a replication of the one or more relations of the first model.

Abstract: One example aspect of the present disclosure relates to a method. The method can include receiving, by one or more computing devices, an input related to power consumption. The method can include filtering, by the one or more computing devices, the received input. The method can include classifying, by the one or more computing devices, the filtered input into one zone of a plurality of zones. The method can include determining, by the one or more computing devices, a setting associated with the classified zone. The setting can determine power production during an idle setting. The method can include causing, by the one or more computing devices, an adjustment to the determined setting at a rate determined by a rate limit.

Abstract: One example aspect of the present disclosure relates to a method. The method can include receiving, by one or more computing devices, an input related to power consumption. The method can include filtering, by the one or more computing devices, the received input. The method can include classifying, by the one or more computing devices, the filtered input into one zone of a plurality of zones. The method can include determining, by the one or more computing devices, a setting associated with the classified zone. The setting can determine power production during an idle setting. The method can include causing, by the one or more computing devices, an adjustment to the determined setting at a rate determined by a rate limit.

Abstract: A film-forming composition made from a mixture of PVOH, chitosan, and a crosslinking agent is disclosed. Also disclosed are a method of making a film from the composition, a resulting crosslinked film, and a packet made from the film and containing a rinse additive. The composition can be formulated to yield an article such as a film which is soluble only below a predetermined pH threshold.