Refund Swatter Lite significantly reduces malicious refund risks by processing Apple's CONSUMPTION_REQUEST notifications and sending detailed consumption data back to Apple within the required 12-hour window, enabling Apple to make informed decisions on refund requests.

GrDF Gazpar meter integration for Home Assistant

A Moroccan Buildings’ Electricity Consumption Dataset. MORED is made available by TICLab of the International University of Rabat (UIR), and the data collection was carried out as part of PVBuild research project, coordinated by Prof. Mounir Ghogho and funded by the United States Agency for International Development (USAID).

GrDF Gazpar meter lovelace card for Home Assistant

Gaz De Bordeaux Home Assistant Integration

Scripts to start working with Household Consumption Expenditure Survey (2022-23) by India's National Sample Survey Office

Find the regions with the largest increase (by percentage) of avocado consumption for [total volume] and each Price Look-up code between Jan 2015 and Mar 2018.

This repository uses two approaches to project building and construction material stock in the US until 2050: Approach 1) uses time-series regression models and historic material consumption data, Approach 2) uses building floor area projections and material use intensities. The repository is created in collaboration with Carbon Leadership Forum.

The script responsible for processing water consumption data

Free & Open Source, Capacity Planning & Management Software, in a Complete Virtual Machine

No description provided.

Kaggle Kernel analysis for Time series data for US Energy hourly data .

Folder Size Scanner - App (Pure Tkinter - No Dependencies) Scans selected folders or drives and reports folder sizes in a tree view. Shows incremental progress as folders are scanned.

slow grub website

Data-driven identification of high-potential non-metro consumers for NutriLife India using household consumption, assets, and nutrition transition signals.

This project reads GitHub Metered Billing export CSV document and provides an easy to understand report

Empirical analysis of the evolution of consumption structure among Beijing urban and rural residents using Python.

practice of ML algorithms