energisoi

Energisoi is a term used in energy studies to describe a theoretical, highly decentralized energy system in which generation, storage, and consumption are coordinated by autonomous digital agents across a network of microgrids and prosumers. The concept is intended to explore how future grids might operate if many small resources could act as independent yet interconnected decision-makers.

It envisions intelligent optimization of supply and demand through edge computing, artificial intelligence, and potentially blockchain-enabled trading. In Energisoi models, individual resources—such as rooftop solar, home batteries, electric vehicles, and community storage—act as agents that negotiate, forecast, and adapt to changing conditions to minimize cost and emissions while maintaining reliability.

Although Energisoi remains primarily a conceptual framework within academic literature, it is used to explore scenarios for future grids and to benchmark decentralized coordination algorithms. Pilot studies and simulations have tested components such as peer-to-peer energy trading, demand response, and digital twins, but there is no consensus on a single implementation.

Potential benefits include improved resilience, lower peak demand, higher integration of renewables, and greater consumer autonomy. Challenges include regulatory and market design barriers, interoperability across devices, data privacy, cybersecurity, and the complexity of coordinating large numbers of agents.

Related topics include smart grids, distributed energy resources, peer-to-peer energy trading, digital twins, and AI in energy systems.