AI-powered interactive platform for planning and optimizing green hydrogen infrastructure with real-time impact analysis.
This repository contains the code related to the research article titled "Control óptimo multifase de sistema fotovoltaico-hidrógeno asistido por red".
Optimising production and long-term bulk storage of hydrogen from offshore wind in salt caverns in the Irish Sea
[우수상 수상작] 2022년 캠퍼스 특허 유니버시아드 특허전략부문 | 특허 빅데이터 분석을 통한 수소 자동차 유망기술 도출 프로젝트
This code refers to what has been implemented to the PE converters designed to transfer energy from a RES to an electrolyser, with the backup of an ESS.
AI-SCADA platform for green hydrogen production + SWRO desalination — Kraefegg M.O.
Simulador de electrólisis y producción de hidrógeno verde implementando arquitectura MVC y validaciones en Java Swing.
NEMGLO: NEM Green-energy Load Optimisation
AI-driven Solar Irradiance forecasting for Green Hydrogen plants. Achieved 0.97 R² accuracy and 86% error reduction using Random Forest. Optimized for the Puertollano industrial hub.
Green hydrogen electrolysis catalyst discovery — 20-doc research synthesis, Bayesian optimisation, CaWO4 phase engineering, SHAP analysis, Streamlit dashboard
Add a description, image, and links to the green-hydrogen topic page so that developers can more easily learn about it.
To associate your repository with the green-hydrogen topic, visit your repo's landing page and select "manage topics."