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Premchan369/quantum-ai-smart-grid-india

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⚡ Quantum-AI Digital Twin — Indian Smart Grid Optimization

![HF Models](https://huggingface.co/Premchan369/quantum-ai-smart-grid-india) ![HF Spaces](https://huggingface.co/spaces/Premchan369/quantum-ai-smart-grid-india-demo) ![License: MIT](LICENSE) ![Python](https://python.org) ![Qiskit](https://qiskit.org)

Hybrid Quantum-AI system for optimising EV charging in Indian smart cities. Combines AI demand forecasting + QUBO/QAOA quantum optimisation + digital twin simulation.

📊 Results

Method	Peak Load (kW)	Peak ↓	Avg CO₂ (g/kWh)	CO₂ ↓	EV Cost (₹)	Renewable
🔴 Baseline	532.0	—	696.0	—	₹7451.80	15.5%
🔵 Classical	441.3	17.0%	746.0	-7.2%	₹7517.10	9.3%
🟢 Hybrid Q-AI	441.3	17.0%	746.0	-7.2%	₹7517.10	9.3%

AI Forecast (full year): LSTM MAE=3.7536 GW · TFT MAE=3.4121 GW · Ensemble R²=0.9297

🗃️ Indian Datasets

Dataset	Kaggle	Records
Indian Power Consumption	anikannal	8,760
Solar Power Generation	anikannal	17,520
EV Charging Stations	piyushagni5	7,300
Weather India	sudalairajkumar	8,760

🏗️ Pipeline

Indian Datasets → Feature Engineering (26 features) →
  AI Forecasting (BiLSTM+Attention 1.25M params | TFT 237K params | Ensemble) →
  Digital Twin (Local Substation · ToU ₹/kWh · Carbon Tracking) →
  QUBO → QAOA (Qiskit) → Hybrid Solver → Optimal EV Schedule

📄 Paper Title

"Hybrid Quantum-AI Digital Twin for Indian Smart Grid EV Charging Optimization using Renewable-Aware Scheduling" Target: IEEE Trans. Smart Grid | Applied Energy | Energies (MDPI)

Generated: 2026-03-13 15:53 UTC