The EXSTORM project is starting to deliver results. We've been running full-scale in silico simulations of local energy market trading, and testing the viability of different trading heuristics. For example, we've put a good deal of work into the possibilities of posted-price trading, and the various heuristics for setting offer-to-sell prices and buy-limit prices.
We set out expecting to find that Derivative Follower (DF) heuristics, which work well in many kinds of market, would do a good job in a LEM. However, we somewhat painfully discovered that the fluctuations in energy abundance in a LEM have features that defeat ordinary DF pricers. We moved on to generalize from the principles of DF, developing a family of Generalized DF heuristics which appears to be much more robust. Here's a snapshot of a test with Generalized DF.