  Increased uptake of variable renewable generation and further electrification
of energy demand necessitate efficient coordination of flexible demand
resources to make most efficient use of power system assets. Flexible
electrical loads are typically small, numerous, heterogeneous and owned by
self-interested agents. Considering the multi-temporal nature of flexibility
and the uncertainty involved, scheduling them is a complex task. This paper
proposes a forecast-mediated real-time market-based control approach (F-MBC)
for cost minimizing coordination of uninterruptible time-shiftable (i.e.
deferrable) loads. F-MBC is scalable, privacy preserving, and usable by device
agents with small computational power. Moreover, F-MBC is proven to overcome
the challenge of mutually conflicting decisions from equivalent devices.
Simulations in a simplified but challenging case study show that F-MBC produces
near-optimal behaviour over multiple time-steps.
