Proactive modification or suggestion of assistant routines based on anticipated energy consumption

Abstract

Implementations set forth herein relate to an automated assistant that can control a sequence of operations for a routine according to whether power data indicates that energy expense and/or energy consumption can be preserved by modifying the sequence of operations for the routine. In some implementations, the automated assistant can suggest certain routines, and/or triggering conditions for operations of the routine, to reduce energy expense and/or energy consumption. Alternatively, or additionally, the automated assistant can infer certain operation requests or triggering conditions depending on whether the user has expressed an interest in preserving energy resources and expenses. In this way, the automated assistant can facilitate minimizing energy consumption and/or energy expenses without necessitating that the user exclusively, or manually, schedule all assistant operations with particularity.