Methods and apparatus for platform ambient data management schemes for tiered architectures. A platform including one or more CPUs coupled to multiple tiers of memory comprising various types of DIMMs (e.g., DRAM, hybrid, DCPMM) is powered by a battery subsystem receiving input energy harvested from one or more green energy sources. Energy threshold conditions are detected, and associated memory reconfiguration is performed. The memory reconfiguration may include but is not limited to copying data between DIMMs (or memory ranks on the DIMMS in the same tier, copying data between a first type of memory to a second type of memory on a hybrid DIMM, and flushing dirty lines in a DIMM in a first memory tier being used as a cache for a second memory tier. Following data copy and flushing operations, the DIMMs and/or their memory devices are powered down and/or deactivated. In one aspect, machine learning models trained on historical data are employed to project harvested energy levels that are used in detecting energy threshold conditions.