list of papers, code, and other resources
Physics-guided data-driven solutions for the wind energy industry
Data Science in Wind Resource Assessment Tutorial at PyData San Diego, March 2020
A digital format for exchange of wind energy yield assessment reporting information as defined by IEC 61400-15-2
Offshore Wind Farm Lifecycle Estimation
The python SDK for Twined data services and digital twins.
WindPro is an advanced AI-powered wind energy prediction platform that leverages machine learning to forecast wind energy generation with unprecedented accuracy and reliability.
Python IEA task 43 parsers for NRG SymphoniePRO loggers
The Distributed Wind Market Demand (dWind) model simulates customer adoption of distributed wind for residential, commercial, and industrial entities in the United States.
Data influx for Aerosense.
AI-powered monitoring, forecasting, simulation and decision support for hybrid solar and wind energy systems.
Short-Term Wind Power Forecasting utilizing a Transformer model and a seasonally aware custom cosine annealing scheduler.
A robust, model-agnostic pipeline leveraging Large Language Models (LLMs) to automatically standardise, categorise, and extract reliability intelligence from unstructured wind turbine maintenance work orders.
A time-series forecasting project that analyzes renewable energy production trends using Python, machine learning models, and exploratory data analysis.
Executive strategic report generator combining competitive benchmarking, automated intelligence agents, and onshore platform positioning in the Wind Energy industry sector.
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