{"repo":"banzuzi-carioni/cross-border-electricity-flow-prediction","free":true,"listed":false,"github":"https://github.com/banzuzi-carioni/cross-border-electricity-flow-prediction","clone":"git clone https://github.com/banzuzi-carioni/cross-border-electricity-flow-prediction.git","description":"Serverless ML system to predict the direction and volume of electricity flows to and from the Netherlands and its energy transmission partners 🇳🇱⚡️","language":"Python","stars":11,"topics":["etl","hopsworks","mlops","serverless","xgboost-regression","machine-learning","ml-pipelines","energy-data"],"license":"MIT","category":"machine-learning","readme_excerpt":"Netherlands Cross-Border Electricity Flow Prediction ⚡️ About This project provides an interactive tool to predict, monitor and analyze the direction and volume of electricity flows to and from the Netherlands 🇳🇱 and its energy transmission partners: Germany 🇩🇪, Belgium 🇧🇪, Great Britain 🇬🇧, Denmark 🇩🇰 and Norway 🇳🇴. The project uses a Serverless Machine Learning pipeline to predict the direction and amount of electricity flows based on historical data, day-ahead energy prices, and forecasts of electricity generation and weather. Developed as part of the Final Project of the course ID2223 Scalable Machine Learning and Deep Learning at KTH, this project aimed to build and deploy a maintainable Machine Learning system capable of seamlessly generating and updating daily predictions. Table of Contents 1. Architecture and Frameworks 2. Pipelines 3. Data 4. Project Structure 5. Results 6. Installation and Usage 7. Contributors Architecture and Frameworks This project has the following architecture chosen for scalability, automation and userfriendly usage. Key components include: - Hopsworks : used for centralized storage and management of data, models, and metadata. Hopsworks acts as the backbone for storing raw and processed datasets in its Feature Store , as well as registering trained models in its Model Registry . - GitHub Actions : automates daily updates by running scheduled workflows for real-time data collection and inference pipelines to generate predictions. -","default_branch":null,"files":null,"tree":[],"storefront":"/r/banzuzi-carioni","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/banzuzi-carioni/cross-border-electricity-flow-prediction/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}