Fahad Abul's Projects
Course material for GridLAB-D
Syllabus for a course at Portland State University covering both energy, water, transportation and telecomunications.
This is a reinforced learning implementation of a thermal model of a house
Forecasting Day-Ahead electricity prices in the German bidding zone with deep neural networks.
24-hr profile generator for each month from 8760 timeseries
Implementation of Data acquisition and Overcurrent Protection for single phase system
All Data Engineering notebooks from Datacamp course
Figure notebooks for "The Data Science Design Manual" (http://www.data-manual.com/)
Roadmap to learn Data Science and related areas.
The Breast Cancer Wisconsin (Diagnostic) Data Set
Repository to maintain all my clutter
Experimental and exercising codes
This Repository contains the matlab codes to generate the figures in Chapter 4 of the book "Demand Response in Smart Grids".
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
A tool for calculating, understanding, and optimizing the value of distributed energy resources based on their technical merits and constraints. The graphical interface is https://github.com/epri-dev/DER-VET-GUI . To get involved with the community of DER-VET users, please visit www.der-vet.com.
A Probabilistic Domestic Electricity Demand Model for Demand Side Management Studies
The cash register works by identifying the products & corresponding prices, summing up them as well as displaying it to both the seller and the buyer
Code to optimally dispatch grid energy storage devices subject to user-specified constraints. Example data files provided.
a pytorch implementation of Deep Networks for Global Optimization proposed in [Snoek 2015]
This is the example code repository for Doing Data Science by Cathy O'Neil and Rachel Schutt (O'Reilly Media)
Equivalent dollars cycle is calculated based on depth-of-discharge of the storage operation