"BIO-Quantum Energy Brain (BQEB)"

"Master ThemeBIO-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 SystemsPurposeDefine the field and architecture.Core Contents7-layer system designAI + quantum + bio-inspired modulescontrol loopsgovernance modeluse cases 2. Open Dataset PaperTitle: BQEB-Data: An Open Multimodal Benchmark Dataset for Intelligent Energy Forecasting and Grid OptimizationPurposeCreate reusable data asset.Include Data Typessmart meter demandsolar generationwind generationbattery state-of-chargeEV charging demandweather  pricing  outage events 3. Forecasting Benchmark PaperTitle: Benchmarking AI Models on BQEB-Data for Multi-Horizon Energy ForecastingCompareLSTMTransformer  XGBoost  Temporal Fusion TransformerGraph Neural Nets MetricsMAERMSEMAPElatency  Use Casesload demandsolar outputcharging demand 4. Optimization PaperTitle: Quantum and Bio-Inspired Optimization for Energy Dispatch in the BQEB FrameworkComparelinear programminggenetic algorithmsparticle swarmsimulated annealingquantum-inspired solvers Use Casesbattery dispatchEV charging schedulerenewable curtailment minimizationgrid balancing 5. Security \/ Resilience PaperTitle: Secure and Resilient BQEB: Cyber-Physical Defense for Autonomous Energy NetworksFocusfalse data injection detectioncyberattack resilienceanomaly detectionself-healing recoveryadversarial robustness BQEB-Data v1(BIO-Quantum Energy Brain Dataset for Smart Grid, Storage, Renewable Energy, EV Charging, and Cyber-Resilient Energy Intelligence) is a synthetic multimodal benchmark dataset developed to support research in next-generation intelligent energy systems. The dataset is inspired by the BIO-Quantum Energy Brain (BQEB) concept, which integrates artificial intelligence, bio-inspired adaptive control, quantum optimization, and secure autonomous decision-making for modern energy infrastructure. BQEB-Data v1 contains 10,512 time-series records sampled at 15-minute intervals and includes variables representing electricity demand, renewable generation, battery storage behavior, electric vehicle charging activity, weather conditions, electricity market pricing, grid health indicators, and cyber anomaly events.The dataset is designed for benchmarking machine learning, forecasting, optimization, anomaly detection, reinforcement learning, and cyber-physical resilience methods. It enables use cases such as load prediction, renewable energy forecasting, dynamic pricing analysis, battery dispatch scheduling, EV charging orchestration, outage prediction, and security analytics. Chronological train, validation, and test splits are included to support reproducible experimentation. BQEB-Data v1 serves as an open research resource for academia, industry, and government researchers working on smart grids, sustainable energy systems, and autonomous infrastructure intelligence."