AI × DeEnergy = ?

Just a quick thought on AI's use case, esp for cases like climate change and grid stability.

Case study — recent wildfire scene in Los Angeles. 

How bad? TLDR: 
Climate change destabilize power grids yk, and this = electrical faults/fire risk.

⁃ 2 solutions here:
1. Human interference. If we go by human interference, it's slow and error prone as traditional grid management is heavy on human decisions, which in major cases can be slow and prone to errors, esp during crises. 

2. Artificial intelligence. A much efficient approach. Why? ↓
Consider this: 
AI can monitor/manage electrical faults in real-time time, which = identifying and addressing issues to prevent cases like wild fire.

Scenarios like this makes the DeEnergy narrative a critical one, and at the moment, @ionpowergrid is the sole pioneer of this narrative.

They combine an AI-driven management model × decentralized grid mechanism to provide a robust solution to climate-induced challenges. 

Will there be other players to push this narrative in the future? Ofc, yes! 

For now study @ionpowergrid 👍