Abstract: A localized smart energy management system comprises a plurality of controllable loads, at least one intermittent energy source, a selectively connectable dispatchable energy source, and optionally an energy storage system. A method for balancing power production and power consumption of such localized smart energy management systems in real time comprises performing a coarse-grained optimization in a first layer of a hierarchical optimization structure to generate a predicted schedule, based on long-term load demand profiles and long-term power generation profiles. A second layer iteratively refines the predicted schedule upon receiving a new forecast of a short-term power generation profile for the at least one intermittent energy source.

Abstract: A computer-implemented method and related device are disclosed for determining a plurality of operating scenarios of an energy system. The method comprises obtaining a plurality of performance measures of the energy system as a function of time corresponding to a plurality of sets of values of input variables. The method comprises clustering the plurality of sets of values of the input variables and the performance measures associated therewith into groups and defining a descriptor for each of the groups. The method also comprises outputting the descriptors of the groups for use in an online prediction or offline estimation of the energy system.

Abstract: A localized smart energy management system comprises a plurality of controllable loads, at least one intermittent energy source, a selectively connectable dispatchable energy source, and optionally an energy storage system. A method for balancing power production and power consumption of such localized smart energy management systems in real time comprises performing a coarse-grained optimization in a first layer of a hierarchical optimization structure to generate a predicted schedule, based on long-term load demand profiles and long-term power generation profiles. A second layer iteratively refines the predicted schedule upon receiving a new forecast of a short-term power generation profile for the at least one intermittent energy source.

Abstract: A computer-implemented method and related device are disclosed for determining a plurality of operating scenarios of an energy system. The method comprises obtaining a plurality of performance measures of the energy system as a function of time corresponding to a plurality of sets of values of input variables. The method comprises clustering the plurality of sets of values of the input variables and the performance measures associated therewith into groups and defining a descriptor for each of the groups. The method also comprises outputting the descriptors of the groups for use in an online prediction or offline estimation of the energy system.