My goal is to estimate if a battery will have enough charge for certain other systems to be powered. The power state of the other systems is recorded (i.e. if they are turned on or not), as well as the times when the battery is being charged by solar panel during sunlight. These records are several month in the past.
My question is now, in what topic/algorithms should I research when I want to use the previous data and events to estimate/extrapolate the voltage into the future (to make scheduling of powering systems easier, such as canceling them if the battery will be drained too much)? The upcoming charging times can be calculated, and it'll also be known when a system will be powered.
All the datasets (i.e. voltage, charging times, events) are available as timeseries (but with different timestamps/sample rates).