Fahad Abul's Projects
Exercises and supplementary material for the deep learning course 02456.
Exercises and supplementary material for the deep learning course 02456 using PyTorch.
ML algorithm to study the effect of COVID 19 on Alberta industrial zone air pollution using weather normalization method
Get grid data from Alberta Electric System Operator (AESO)
Artificial Load Profile Generator for DSM
Python implementation of an Adaptive neuro fuzzy inference system
Large-Scale Time Series Forecasting Pipeline
Approaching (Almost) Any Machine Learning Problem
Convex optimization formulation of energy storage arbitrage
Just the base camp for my website
Analysis of top give winning solutions of the ASHRAE Great Energy Predictor III competition
Deep reinforcement learning for autonomous energy management
This is a repository of links where you can learn CICD of web APIs
A curated resources of awesome NILM resources
List of tools & datasets for anomaly detection on time-series data.
Some scripts for spinning up/down Azure VMs
Deutsch: Bass Difussion anhang von Steam Spy Absatzzahlen
Simple battery optimization code (a proof of concept project for cvxpy)
Bayesian Analysis with Python by Packt
Machine Learning Benchmark Scripts
In our project we have applied the PWM technique to implement bi-directional speed control of a PMDC motor
Simulation code for the book “Optimal Resource Allocation in Coordinated Multi-Cell Systems” by Emil Björnson and Eduard Jorswieck, Foundations and Trends in Communications and Information Theory, vol. 9, no. 2-3, pp. 113-381, 2013
Source code for the paper "Inference for Continuous Time Random Maxima with Heavy-Tailed Waiting Times"
ca carbon accounting model
Cash Flow Forecasting Challenge held in 2020 on the popular TopCoder hackathon platform. I created my ML forecasting model using Python SciPy libraries. The step-by-step guide from data exploration to analysis has been shown in the notebook.
My solution to solve the second IEEE-CIS technical challenge
COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility
Home work in python using cvxpy to Stephen Boyd's Convex Optimization class (CVX101 Stanford)