demand

Build a smooth and lightweight react component loading with css 🎉 .

Create your own video on demand service by Laravel.

Analysis of Uber Data from NYC Open Data website

Energy industry solutions using the Cortana Intelligence Suite with end-to-end walkthrough.

Frictionless language packs for Webpack.

HIRE - HIgh Resolution Energy Demand simulation model

[Website] on-demand near-real time information about profession-related auction house prices for World of Warcraft

Network Flow: Given a directed graph with edge capacities and vertex demands, is there a circulation of flow?

🖥️ Kodi plugin for RAI. Kodi and RAI are registered trademarks of their respective owners. Python 3 ready.

Master Degree Coursework: Econometrics I

Easily create and use virtualenvs via script and provides the ability for an application to install and use its runtime dependencies on first import

The Smart Energy Research Lab (@SERL_UK) Github Guide

A novel application of the RAMP main engine for generating bottom-up stochastic electric vehicles load profiles.

Cross platform QT application, using QTableGrid views to mediate behavior economic calculations, per current best practices.

Maximum Acceptable Page Fault Rate

QGIS 2.8 or higher processing provider plugin that calculates demand on distribution network nodes

this is a babel plugin for react-loading

[DEPRECATED] Reduce the size of APKs by making the resources dynamic and downloading them on demand

Air Traffic

Simulating hospital supply and demand for COVID19 as part of Zurich Hackathon (March 2020)

Solutions for Simulation Lab Assignments

simulation of actual demand of electricity load.

Create a course in industrial organization in R.

A library of handlebars helpers in ~20 categories

Independent analysis of the bike sharing program Austin B-Cycle within a 5 year span. The analysis draws trends related to the demand of the service with the Austin's Open Data Portal API data.

During this project, I predicted the elastic demand for Golf in the Greater Seattle area, in the form of total rounds of golf played. After some data preprocessing of feature selection, normalization, and correction for Heteroskedasticity, my Multiple Linear Regression model is very accurate with an adjusted R-squared of around 0.86.

Master Degree Coursework: Econometrics II

The TMC Staffing and Scheduling Tool supports both Shift Scheduling and Calculating Relief Factor.