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Build a smooth and lightweight react component loading with css 🎉 .
Analysis of Uber Data from NYC Open Data website
Energy industry solutions using the Cortana Intelligence Suite with end-to-end walkthrough.
A novel application of the RAMP main engine for generating bottom-up stochastic electric vehicles load profiles.
HIRE - HIgh Resolution Energy Demand simulation model
Master Degree Coursework: Econometrics I
[Website] on-demand near-real time information about profession-related auction house prices for World of Warcraft
🖥️ Kodi plugin for RAI. Kodi and RAI are registered trademarks of their respective owners. Python 3 ready.
Network Flow: Given a directed graph with edge capacities and vertex demands, is there a circulation of flow?
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 library of handlebars helpers in ~15 categories, with minimal dependencies
Master Degree Coursework: Econometrics II
QGIS 2.8 or higher processing provider plugin that calculates demand on distribution network nodes
Cross platform QT application, using QTableGrid views to mediate behavior economic calculations, per current best practices.
The TMC Staffing and Scheduling Tool supports both Shift Scheduling and Calculating Relief Factor.
simulation of actual demand of electricity load.
Predicting the demand of food amenities using LSTM and MLP
This is Economics Presentation.
[DEPRECATED] Reduce the size of APKs by making the resources dynamic and downloading them on demand
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.
Power demand disaggregation tool using deepLearning
You are required to model the demand for shared bikes with the available independent variables. It will be used by the management to understand how exactly the demands vary with different features. They can accordingly manipulate the business strategy to meet the demand levels and meet the customer's expectations. Further, the model will be a good way for management to understand the demand dynamics of a new market.
Python-based sample code for using external forecast APIs that are part of SAP IBP for Supply Chain.