  A lowering in the cost of batteries and solar PV systems has led to a high
uptake of solar battery home systems. In this work, we use the deep
deterministic policy gradient algorithm to optimise the charging and
discharging behaviour of a battery within such a system. Our approach outputs a
continuous action space when it charges and discharges the battery, and can
function well in a stochastic environment. We show good performance of this
algorithm by lowering the expenditure of a single household on electricity to
almost \$1AUD for large batteries across selected weeks within a year.
