Replication Data for: BIO-Quantum Energy Brain (BQEB)
Abstract
Master Theme BIO-Quantum Energy Brain (BQEB) A unified intelligent framework for next-generation energy systems integrating AI, bio-inspired adaptation, quantum optimization, and secure autonomous control. Recommended 5-Paper Publication Roadmap: 1. Framework Paper (Foundational Signature Paper) Title: BIO-Quantum Energy Brain: A Unified Intelligence Framework for Smart Grids, Storage, and Renewable Energy Systems ==> Completed Purpose Define the field and architecture. Core Contents 7-layer system design AI + quantum + bio-inspired modules control loops governance model use cases 2. Open Dataset Paper Title: BQEB-Data: An Open Multimodal Benchmark Dataset for Intelligent Energy Forecasting and Grid Optimization == Completed Purpose Create reusable data asset. Include Data Types smart meter demand solar generation wind generation battery state-of-charge EV charging demand weather pricing outage events 3. Forecasting Benchmark Paper Title: Benchmarking AI Models on BQEB-Data for Multi-Horizon Energy Forecasting == Completed Compare LSTM Transformer XGBoost Temporal Fusion Transformer Graph Neural Nets Metrics MAE RMSE MAPE latency Use Cases load demand solar output charging demand 4. Optimization Paper Title: Quantum and Bio-Inspired Optimization for Energy Dispatch in the BQEB Framework Compare linear programming genetic algorithms particle swarm simulated annealing quantum-inspired solvers Use Cases battery dispatch EV charging schedule renewable curtailment minimization…
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