Explore/framework/WattCouncil: Context-Aware Household Energy Scenario Generation With Governed LLMs
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Mohannad Takrouri, Nicolas M. Cuadrado A., Martin Takáč/WattCouncil: Context-Aware Household Energy Scenario Generation With Governed LLMsUnknown

WattCouncil is a framework that uses a council of LLM-based agents to generate, audit, and validate high‑resolution household energy consumption scenarios under cultural, temporal, and physical constraints. It is intended for researchers and developers working on smart‑grid analytics and low‑carbon power system modeling.

framework
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AgentHub Score
55 / 100
Composite score from 6 signals. How we score →
Active project
55Score
Growth
40C
Activity
30C
Documentation
70C+
Maturity
45C
Community
42C
Production
58C
GitHub stars · 35 days observed0 not enough history
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Repository activity · 35 days observedReal snapshots from pushed_at
inactivepushed
2026-07-262026-08-31
Practical assessment
Should you use it?

✓ Best for

  • Multi-agent orchestration
  • Production agentic workflows
  • Stateful long-running tasks

◎ Strengths

  • Stable API
  • Active release cadence
  • Strong GitHub community

✕ Not ideal for

  • Simple single-step automation
  • Teams without Python/ML expertise

⚠ Watch-outs

  • Breaking changes between minor versions
  • Ecosystem lock-in if tightly coupled
Technical details
What's inside
Language
License
Sourcearxiv
Open source✗ No
Commercial use
Docs
Demo

AgentHub Score

55
Score 55/100
Below average

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