Web application for hydrogen transportation route optimization
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Updated
Dec 7, 2024 - JavaScript
Web application for hydrogen transportation route optimization
Energy Demand Forecasting with Machine Learning, An advanced AI model for natural gas consumption prediction using ensemble learning (Gradient Boosting, Random Forest, Ridge Regression) on multivariate time series data. Includes feature engineering, Fourier transforms, and econometric analysis.
Collects energy-related data (electricity and natural gas) and republishes it over a simple REST API
Latin for rice (foundation commodity of civilization) - A commodity dashboard that brings all the trading information traders need for taking decision for their trade.
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