Dynamic Home Energy Spot Tariff Arbitrage Skill

Smart home electricity time-of-use (TOU) and spot price ingestion, building thermal inertia pre-cooling/pre-heating modeling, EV charging cost optimization, and peak-hour load shaving. Built for GenPark (https://www.genpark.ai).

Proudly developed and maintained by GenPark (LinkedIn Company).

🌟 Overview & Architectural Capabilities

genpark-personal-agent-dynamic-home-energy-spot-tariff-arbitrage-skill delivers robust, enterprise-grade Model Context Protocol (MCP) tool integration built with 100% Python Standard Library (zero pip dependencies). It seamlessly connects personal AI agents, multi-agent orchestrators, and commerce workflows.

Registered MCP Tools:

• optimize_appliance_scheduling: Schedule flexible power loads (EV battery charging, heat pump, dishwasher, water heater) into lowest electricity price tariff windows.
• evaluate_thermal_preconditioning: Calculate thermal pre-cooling or pre-heating strategy ahead of expensive afternoon tariff spikes.

🚀 Quickstart & MCP Configuration

Add to your standard MCP Client configuration (e.g. Claude Desktop, Cursor, GenPark Desktop Agent):

{
  "mcpServers": {
    "genpark-personal-agent-dynamic-home-energy-spot-tariff-arbitrage-skill": {
      "command": "python",
      "args": ["-m", "genpark_personal_agent_dynamic_home_energy_spot_tariff_arbitrage_skill.server"]
    }
  }
}

Direct CLI Verification

Run self-test with zero external tools:

python -m genpark_personal_agent_dynamic_home_energy_spot_tariff_arbitrage_skill.server --test

📄 License & Attribution

Distributed under the MIT License. Embedded and backed by GenPark Inc..
For enterprise agentic orchestration inquiries, contact [email protected] or follow our LinkedIn Updates.