Machine learning based multiyear projection planning for energy systems

A method comprising:

• obtaining, with at least one processor, input data for an energy system;
• determining, with the at least one processor, one or more projection factors based on the input data, the one or more projection factors to condense forecasts for the energy system, over a multiyear horizon, into a single number to represent future conditions associated with the energy system, where the one or more projection factors tune the impact of the future forecasts using a discount rate;
• determining, with the at least one processor and based on a machine learning model, an operation or investment associated with the energy system to achieve lower cost or improve one or more metrics of the energy system for the multiyear horizon based at least in part on the one or more projection factors and a description of technology or infrastructure of the energy system;
• generating, with the at least one processor, a recommended operation or investment decision for the energy system based at least in part on output of the machine learning model;
• and
• storing, with the at least one processor, the recommended operation or investment decision.