System impact of decentralised AI controllers operating on domestic devices in the intelligent home

The classical approach to curtailing unwanted occurrences on a system load profile (totalized load current drawn by a group of electricity consumers) has been to employ a centralised measurement and control system. Due to the stochastic nature of the individual users, and the group response to such control signals (e.g. ripple control of geysers) a decentralised measurement and control approach is proposed here as a solution to some of the more common problems associated with this conventional approach (e.g. “cold-load pickup effect”). An adaptive distributed control system is proposed on two levels, both within the home itself (home automation), as well as being expanded up into the system level itself. Individual measurement and control nodes (i.e. individual homes) will then operate in union to achieve user customization, as well as system specific objectives (e.g. no cold showers, but also enabling maximum demand control)