Co-optimising revenue for energy, multiple frequency products and other schemes is a complex problem. Al can help integrate these market signals more effectively In addition to utility-scale projects, Al can also help in more efficient usage of residential battery installations, as well as EV charging and discharging patterns with regard to system conditions, considering both the availability of distributed energy resources and customer consumption patterns. Japan is one of the top five countries for residential battery installations. This is maintaining power supply during seismic activity or extreme weather. In Japan, Gridshare platform to manage distributed energy resources, including residential batteries, with machine learning and other Al methods. The algorithm creates a customised charging plan based on solar generation forecasts, customer consumption patterns and extreme weather alerts, saving on customer bills and VPP. The trial found that on average 91% of the maximum flex power could be