Energy management system with machine learning

A computer-implemented method comprising:

• receiving an energy demand state of one or more coupled electrical loads coupled to a universal energy flow manager via a load application specific hardware (load ASH), the energy demand state being indicative of a desired amount of energy needed by the one or more coupled electrical loads in an energy management environment;
• receiving an available energy state of one or more coupled energy sources coupled to the universal energy flow manager via a source application specific hardware (source ASH), the available energy state being indicative of an available amount of energy from the one or more coupled energy sources in the energy management environment;
• generating input data using at least the energy demand and available energy states;
• extracting one or more features from the input data, the one or more features representative of a characteristic of a request for a power delivery proposal operation, proposing, using the power delivery module, at least one power delivery proposal for the one or more coupled electrical loads;
• and performing a power delivery operation based on the power delivery proposal.

A computer system comprising a processor configured to:

• receive an energy demand state of one or more coupled electrical loads coupled to a universal energy flow manager via a load application specific hardware (load ASH), the energy demand state being indicative of a desired amount of energy needed by the one or more coupled electrical loads in an energy management environment;
• receive an available energy state of one or more coupled energy sources coupled to the universal energy flow manager via a source application specific hardware (source ASH), the available energy state being indicative of an available amount of energy from the one ore one or more coupled energy sources in the energy management environment;
• generate input data using at least the energy demand and available energy states;
• extract one or more features from the input data, the one or more features representative of a characteristic of a request for a power delivery proposal operation, propose, using the power delivery module, at least one power delivery proposal for the one or more coupled electrical loads;
• and perform a power delivery operation based on the power delivery proposal.

A non-transitory computer-readable storage medium storing a program which, when executed by a computer system, causes the computer system to:

• receive an energy demand state of one or more coupled electrical loads coupled to a universal energy flow manager via a load application specific hardware (load ASH), the energy demand state being indicative of a desired amount of energy needed by the one or more coupled electrical loads in an energy management environment;
• receive an available energy state of one or more coupled energy sources coupled to the universal energy flow manager via a source application specific hardware (source ASH), the available energy state being indicative of an available amount of energy from the one ore one or more coupled energy sources in the energy management environment;
• generate input data using at least the energy demand and available energy states;
• extract one or more features from the input data, the one or more features representative of a characteristic of a request for a power delivery proposal operation,
• propose, using the power delivery module, at least one power delivery proposal for the one or more coupled electrical loads;
• and perform a power delivery operation based on the power delivery proposal.