Power Autonomy Engine
AI-Based Power System Autonomous Decision Engine
The Power Autonomy Engine is an artificial intelligence decision system that manages power generation, prediction, and distribution for long-duration lunar installations. Operating within the overarching power management architecture, it combines deterministic rule-based controls with machine learning and reinforcement learning to schedule power dynamically across a 100-year mission. Managing lunar power autonomously is complicated because the system must learn localized solar availability and thermal load patterns from scratch without operational baselines. It must also resolve a circular dependency where computational resource consumption is constrained by available power, relying on verified model updates and conservative fallback modes to maintain system safety during unmodeled conditions.
AI/ML system providing autonomous power management decisions beyond programmed rules
Purpose
Enable adaptive power management that learns from operational experience over 100-year mission
Context
Child of L2-PWR-MGMT within the Lunar Ark power generation system
Principles
- ▸Rule-based expert system handles known scenarios with deterministic responses
- ▸Machine learning models predict power demand and solar availability from historical data
- ▸Reinforcement learning optimizes power scheduling through trial-and-error over time
- ▸Conservative fallback ensures safe-mode-capable operation even if AI produces poor decisions
Typical implementations
- ▸JPL AEGIS autonomous targeting system (learning from experience on Mars rovers)
- ▸NASA IDEA autonomous spacecraft operations framework
- ▸Google DeepMind data center power optimization (adapted concept)
- ▸OpenAI/Anthropic-class models for system reasoning (future capability)
Lunar considerations
- ▸Must learn lunar environment patterns (solar availability, thermal loads) from scratch
- ▸Model updates must be verified before deployment to prevent unsafe power decisions
- ▸Computational resources constrained by available power - circular dependency
- ▸Must handle novel situations not in training data (100-year unprecedented mission)
Specifications
Functional
| primary function | AI/ML system providing autonomous power management decisions beyond programmed rules |
Interfaces
Provides
- AI-generated power scheduling recommendations
Requires
- Historical and real-time power data for model training
- Computing resources for AI model execution
Cite this entry
Lunar Ark Codex. "Power Autonomy Engine" (L3-PWR-MGMT-AUTO). Retrieved 10 September 2026, from https://lunarark.com/entry/L3-PWR-MGMT-AUTO
Licensed CC-BY-SA 4.0. You may reuse and adapt this entry with attribution, under the same licence.