Method for adaptive operational management for a storage system for a photovoltaic system, wherein the photovoltaic system comprises, as components, at least one solar generator, the storage system, an energy management system and a household connection and a network connection, wherein the method has the following steps of: reading in current characteristic data relating to the photovoltaic system and previous characteristic data relating to the photovoltaic system, wherein the current characteristic data represent production values and/or consumption values and/or a state of charge of the storage system in a current interval of time, wherein the previous characteristic data represent production values and/or consumption values and/or a state of charge in at least one previous interval of time; creating a plurality of sets of future characteristic data using a stochastic model, wherein a set of future characteristic data each comprises an expected production value and/or an expected consumption value for at least one future interval of time, wherein a probability value is assigned to each of the expected production values and/or the expected consumption values; determining a multiplicity of possible energy flows between the components of the photovoltaic system for the at least one future interval of time using the plurality of sets of future characteristic data and determining an expected value for each set of future characteristic data using a power requirement parameter and the multiplicity of possible energy flows; and selecting an energy flow from the multiplicity of possible energy flows for the at least one future interval of time, wherein a difference between the expected value of the energy flow and the average value of the expected values of the multiplicity of energy flows is the smallest, wherein the energy flow determines the adaptive operational management. reading in current characteristic data relating to the photovoltaic system and previous characteristic data relating to the photovoltaic system, wherein the current characteristic data represent production values and/or consumption values and/or a state of charge of the storage system in a current interval of time, wherein the previous characteristic data represent production values and/or consumption values and/or a state of charge in at least one previous interval of time; creating a plurality of sets of future characteristic data using a stochastic model, wherein a set of future characteristic data each comprises an expected production value and/or an expected consumption value for at least one future interval of time, wherein a probability value is assigned to each of the expected production values and/or the expected consumption values; determining a multiplicity of possible energy flows between the components of the photovoltaic system for the at least one future interval of time using the plurality of sets of future characteristic data and determining an expected value for each set of future characteristic data using a power requirement parameter and the multiplicity of possible energy flows; and selecting an energy flow from the multiplicity of possible energy flows for the at least one future interval of time, wherein a difference between the expected value of the energy flow and the average value of the expected values of the multiplicity of energy flows is the smallest, wherein the energy flow determines the adaptive operational management.