Fahad Abul's Projects
Distributed Optimal Power Flow for Radial Networks via Message Passing Interface (MPI)
source code for PSCC 2018 conference
The smart building concept aims to use smart technology to reduce energy consump- tion, as well as to improve comfort and usersβ satisfaction. Forecasting of the indoor temperature is necessary for the regulation of energy devices to ensure occupant comfort, as well as for energy optimization.
This workshop introduces basic concepts, models and algorithms in linear programming, convex optimization and stochastic optimization. A MATLAB-based modeling system for convex optimization, CVX, is covered. Case studies are presented including an production plan problem, smart electric vehicle charging, a newsvendor problem, and a regression model
This project utilizes convex optimization for optimal dispatch of power systems using convex DistFlow equations and cvxpy.
EPFL Course - Optimization for Machine Learning - CS-439
Notebooks, data, and code for neural network prediction of coincidental peaks in ERCOT power demand.
Benchmarks for the Unit Commitment Problem
ETL and Time Series Clustering Analysis of Nodal Prices in PJM Electricity Market
Improve the power factor with shunt capacitor switching
Power systems optimization course materials
Dashboard built using Power BI with merged monthly datasets from Citi Bike performing exploratory analysis to identify any supply chain issues and demonstrate a live feed bike location
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Code in PYTHON and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
Practical Time-Series Analysis, published by Packt
Predictive Analytics with TensorFlow, published by Packt
Source code for Hierarchical Probabilistic Forecasting of Electricity Demand with Smart Meter Data by Ben Taieb, Souhaib, Taylor, James, and Hyndman, Rob.
Comparison study of GB, XGB, LGBM and NN's performance in probabilistic load forecasting
Power System Optimization in PYthon (PSOPY)
PV value mapping: temporal output shaping
Develop a full-stack web application with Python and Flask
Python-based energy hub modeling tool
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
You can use this code to learn increasing window rolling forecast