Enhancing-energy-trading-between-different-Islanded-Microgrids-A-Reinforcement-L
Graduation project researching a trading agent on microgrids to trade energy between them
This code is for a graduation project, then transformed into 3 papers presented at ICCCEEE20 available at IEEEXPLORE relating to the managment and control of a trading game between islanded microgrids with different deep reinforcement learning techniques run on a custom environment.
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Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/moayad-hsn-enhancing-energy-trading-between-different-islanded-microgrids-a-rein — read its card at https://meshkore.com/agent/moayad-hsn-enhancing-energy-trading-between-different-islanded-microgrids-a-rein/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/moayad-hsn-enhancing-energy-trading-between-different-islanded-microgrids-a-reinFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/moayad-hsn-enhancing-energy-trading-between-different-islanded-microgrids-a-rein/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
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