Trustworthy Energy RAG Chatbot
Document-grounded technical-support assistant with citations, OCR support, provenance, and fault-code lookup.
Solar photovoltaics + machine learning
Whyte Goodfriend M.
I build data-driven tools for PV system monitoring, anomaly detection, forecasting, and trustworthy energy analytics.
PV + ML
Research focus
Anomaly detection
Core method area
FastAPI + Python
Applied software stack
Research identity
Practical AI for cleaner, more explainable energy systems.
My work connects experimental solar PV knowledge with machine learning, data quality engineering, and software that researchers and operators can actually use.
SolarGraph AI
LLM-powered knowledge graph exploration for PV solar energy and materials-science research.
PV Power Predictor
Machine-learning workflow for predicting photovoltaic power output from energy-system data.
CV snapshot
Research experience, teaching, and applied technical depth.
Forschungszentrum Juelich
Scientific researcher on outdoor PV data processing, module-performance modeling, ML analysis, and peer-reviewed publication.
RWTH Aachen + UNN
Doctoral work in physics and energy, with prior solid-state/materials science and physics degrees from the University of Nigeria Nsukka.
Teaching + Conferences
University physics lecturing, student supervision, and presentations at international PV and nanotechnology conferences.