Intelligent orchestration systems for energy and power management based on monitoring local conditions

An artificial-intelligence-based (AI-based) platform for enabling intelligent orchestration and management of power and energy, the AI-based platform comprising:

• an artificial intelligence system that analyzes a data set of monitored local conditions to generate a recommended configuration of a set of distributed systems based on at least one energy-related output of an adaptive energy digital twin that represents a subset of the set of distributed systems, wherein:
• each distributed system of the set of distributed systems produces energy and consumes energy,
• the recommended configuration causes the set of distributed systems to at least one of produce or consume energy based on the data set of monitored local conditions,
• the set of distributed systems is connected with a power grid and at least one of a set of systems, a set of equipment, or a set of facilities,
• the set of distributed systems augments the power grid to improve reliability associated with operating the at least one of the set of systems, the set of equipment, or the set of facilities,
• the artificial intelligence system configures a plurality of distributed systems of the set of distributed systems to satisfy a set of aggregate performance requirements, and
• the set of aggregate performance requirements relates to at least one of carbon generation or emissions.