This repo contains information regarding cloud offerings of OpenVINO™ and demos to showcase OpenVINO™ via sample Jupyter notebooks.
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Updated
Jul 14, 2025 - Jupyter Notebook
This repo contains information regarding cloud offerings of OpenVINO™ and demos to showcase OpenVINO™ via sample Jupyter notebooks.
Example Jupyter notebooks hosted on Kaggle that demonstrate how to work with US energy data from PUDL.
Wattif - Electrical energy policies explorer
CDSP Project- Solar Energy in Conflict Zones. This repository houses the efforts of Group 8 in the MIT Emerging Talent 2025 program, showcasing the power of renewable energy and its impact in conflict-affected and underserved regions. Through data science, we explore how clean energy can foster resilience, sustainability, and opportunity
Notebook script that converts time-series data to images using pyts and nilmtk.
Jupiter notebook that analyses energy consumption and energy production reports.
This repository contains codes developed in Python which deals with smart meter analytics. Building consumption dataset from Pecan Street Dataport was obtained along with temperature and irradiance data. The dataset was used to build machine learning models using linear regression, random forest deicision tree, Neural networks and Support vector…
A collection of Jupyter notebooks for inference on Imbalance in the EU ETS: a non-parametric approach - C. Salvagnin, A. Glielmo, M.E. De Giuli, A. Mira
a python code that uses the randomness of neural network training to find the ground state of a harmonic oscillator and its energy
Automated half-hour scrapers for LUMA & Tesla data in Puerto Rico, plus a polars notebook with daily stacked supply and peak-hour waterfall charts.
This is a collection of google Colab notebooks that I created while following edx.com's "Data Science for Construction, Architecture and Engineering" course by Clayton Miller.
This repository provides tools for forecasting Great Britain’s power demand using Facebook’s Prophet model. It includes Python functions and Jupyter notebooks for daily and monthly forecasts, integrating weather and GDP as regressors, with hyperparameter tuning via HyperOpt.
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