PolicyAnalyst

AI-powered regulatory compliance and policy analysis for energy markets.

Overview

PolicyAnalyst is a specialized AI model fine-tuned for energy policy and regulatory compliance analysis. Built on Mistral-7B-v0.3, it provides expert-level analysis of energy regulations, compliance requirements, and policy opportunities.

Key Capabilities

🔍 Regulatory Compliance Analysis

• Requirement Identification: Automatically identify regulatory compliance requirements
• Gap Analysis: Spot policy gaps and inconsistencies in energy regulations
• Compliance Mapping: Map regulatory requirements precisely to your operations
• Risk Assessment: Evaluate compliance risks and mitigation strategies

💡 Arbitrage Opportunities

• Market Opportunities: Identify arbitrage opportunities in energy regulations
• Policy Loopholes: Detect regulatory gaps that can be leveraged
• Strategic Insights: Generate actionable strategies for regulatory advantage
• Timing Analysis: Understand when regulatory changes create opportunities

📋 Actionable Compliance

• Compliance Checklists: Generate detailed, step-by-step compliance checklists
• Implementation Plans: Create actionable implementation strategies
• Documentation Support: Assist with regulatory documentation and reporting
• Audit Preparation: Prepare for regulatory audits and inspections

🎯 Energy Market Expertise

• Utility-Scale Projects: Specialized analysis for large-scale solar and energy projects
• Grid Integration: Understand grid connection and integration requirements
• Market Participation: Navigate energy market participation rules
• Environmental Compliance: Address environmental and permitting requirements

Model Architecture

Training Process

PolicyAnalyst uses a sophisticated three-stage training pipeline:

1. Stage 1: Supervised Fine-Tuning (SFT) on Dolly-15k for general instruction following
2. Stage 2A: Continued pre-training on 50,000 energy policy documents
3. Stage 2B: Fine-tuning on 7,000 domain-specific Q&A pairs

Technical Specifications

• Base Model: Mistral-7B-v0.3
• Context Window: 1024 tokens
• Training Framework: Unsloth
• Hardware: NVIDIA A10G
• Training Time: ~48 hours across all stages
• LoRA Configuration: r=32, alpha=32, all attention + MLP layers

Performance Metrics

Our model has been rigorously evaluated on held-out test sets:

• Regulatory Requirement Identification: 92% accuracy
• Policy Gap Detection: 87% precision
• Compliance Checklist Generation: 4.2/5 expert rating

Getting Started

Installation

from transformers import AutoModelForCausalLM, AutoTokenizer

# Load the model and tokenizer
model = AutoModelForCausalLM.from_pretrained("asoba/PolicyAnalyst-v0.1")
tokenizer = AutoTokenizer.from_pretrained("asoba/PolicyAnalyst-v0.1")

Basic Usage

# Define your prompt
prompt = """You are a regulatory compliance expert. Your core capabilities:
1. Read between the lines for subtext and unstated implications
2. Map regulatory requirements precisely
3. Spot arbitrage opportunities and gaps in regulations
4. Generate actionable compliance checklists with specific steps

Always provide detailed, truthful, actionable responses with clear structure.

### Instruction:
What are the key compliance requirements for utility-scale solar projects?

### Response:
"""

# Generate response
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=512, temperature=0.7)
response = tokenizer.decode(outputs[0])
print(response)

Use Cases

Solar Project Development

• Permitting Requirements: Understand local, state, and federal permitting needs
• Environmental Compliance: Navigate environmental impact assessments
• Grid Connection: Analyze interconnection requirements and costs
• Tax Incentives: Identify available tax credits and incentives

Energy Trading

• Market Rules: Understand energy market participation requirements
• Compliance Reporting: Generate required regulatory reports
• Risk Management: Assess regulatory risks in trading strategies
• Arbitrage Opportunities: Identify regulatory arbitrage possibilities

Utility Operations

• Rate Case Support: Analyze regulatory requirements for rate filings
• Compliance Monitoring: Monitor ongoing compliance requirements
• Policy Advocacy: Support policy advocacy and lobbying efforts
• Regulatory Strategy: Develop long-term regulatory strategies

Example Analysis

Multi-State REC Compliance Strategy

Question: A solar developer has projects in both California and Texas. California requires additionality for RECs while Texas allows unbundled RECs. How can they structure their portfolio to maximize value while maintaining compliance in both states?

PolicyAnalyst Response:

To maximize value while maintaining compliance, the solar developer could sell the RECs from the California projects in California, ensuring that they meet the additionality requirement. For the Texas projects, they can bundle the RECs with electricity sales or sell them as unbundled RECs within Texas, where such practices are allowed. This approach ensures that each state’s unique requirements are met without compromising the overall value of the RECs. Additionally, the developer may need to maintain separate accounting and reporting systems for each state to demonstrate compliance. Regular audits and documentation of these processes will be crucial to ensure ongoing adherence to both states’ regulations.

Compliance Checklist: □ Separate accounting systems for each state □ Documentation of compliance measures □ Regular audits to verify adherence to regulations □ Clear communication of compliance strategies to stakeholders

Detailed steps:

1. Develop separate accounting systems that track REC generation and sale for each state.
2. Maintain detailed documentation of all transactions and compliance measures taken for each state.
3. Conduct regular internal and external audits to verify that all REC sales align with state-specific regulations.
4. Communicate clearly with stakeholders about the different REC selling approaches used in each state to manage expectations and address any potential concerns.

Limitations

• Context Window: Limited to 1024 tokens per analysis
• Quantitative Calculations: Should be independently verified
• Training Data: Current through July 25, 2025
• Legal Advice: Not a substitute for qualified legal counsel
• Regional Variations: May not capture all local regulatory nuances

Support & Resources

Documentation

• API Reference
• Compliance Guides
• Best Practices

Community

• GitHub Repository
• Discord Community
• Regulatory Updates

Support

• 📧 Technical Support: support@asoba.co
• 📖 Documentation: code.asoba.co
• 💬 Community: Discord

Citation

If you use PolicyAnalyst in your research or publications, please cite:

@misc{policyanalyst2025,
  author = {Shingai Samudzi, Asoba Corporation},
  title = {PolicyAnalyst-v0.1: A Fine-tuned Model for Energy Policy Analysis},
  year = {2025},
  publisher = {Hugging Face},
  howpublished = {\url{https://huggingface.co/asoba/PolicyAnalyst-v0.1}}
}

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