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A framework for evidence-based decisions that combines forecasting, contextual reasoning, controls, and action feedback.
A framework for evidence-based decisions that combines forecasting, contextual reasoning, controls, and action feedback.
Decision systems often separate predictive outputs from governance context and operational accountability.
Pipeline architecture linking context ingestion, predictive services, policy checks, action orchestration, and outcome feedback.
BQEB ForecastBench: Benchmarking AI Models for Smart Grid Forecasting Using BQEB-Data v1
2026 | Zenodo public work | DOI 10.5281/zenodo.19716383
View sourceEnterprise Intelligence Framework™: A Reference Framework for Connecting Executive Intent, Control Architecture, Operating Models, and Platform Delivery
2026 | Zenodo public work | DOI 10.5281/zenodo.21347650
View sourceBQEB ForecastBench
2026 | Zenodo | DOI 10.5281/zenodo.19716383
View sourceBQEB-Data BIO-Quantum Energy Brain Benchmark Dataset for Smart Grid Intelligence, Renewable Forecasting, Storage Optimization, and Cyber Resilience
2026 | Zenodo | DOI 10.5281/zenodo.19657256
View sourceresearch-portfolio
Research portfolio repository featuring publications, preprints, datasets, white papers, technical reports, and open research.
View sourceRakeshKumarAgrawal.github.io
Personal portfolio repository showcasing enterprise AI research, platform engineering, cloud architecture, open-source projects, and technical publications.
View sourceLet's discuss research collaborations, enterprise AI strategy, platform engineering, open science initiatives, or speaking opportunities.