Presentation Description: Can predictive modeling be used to analyze the future queue to determine the likelihood of success? The 5 year outlook of the US queue shows xx GW of planned projects in ISO areas. Developers use a myriad of methods to uncover potentials from planned generation, LMP pricing, congestion analytics, surrounding infrastructure, land position, and market competition. This session shows the AI forward look at the queue using a number of machine learning factors from historical builds.
Learning Objectives:
Have a more comprehensive outlook of the interconnection queue in the future
Forecast winners and losers for new project builds