Fahad Abul's Projects
Deploying Heroku App for Predicting House Price
Code and data for the article "Reliable Frequency Regulation through Vehicle-to-Grid: From EU Legislation to Robust Optimization" by Dirk Lauinger, François Vuille, and Daniel Kuhn available at https://arxiv.org/pdf/2005.06042.pdf. This project was funded by the Institut VEDECOM.
day-ahead load forecast on residential customers
Using Python, Javascript, Postgres and HTML built a retail dashboard containing interactive visualization and forecast generated by Facebook Prophet and other machine learning models. Grocery recommendation system uses k-means clustering and the surprise algorithm
A boilerplate for any real world SaaS with features such as authentication, email service, etc.
Scalable Data Architecture with Java, published by Packt
Scalable Time Series Data Analytics
code for the paper https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9467267
Program/Code/Simulink Repo of one of my papers on power electronics and control
A repository for public storage of slides given at the 17th Python in Science Conferences (2018)
Energy-consumption scheduling algorithms for the Smart Grid
Forecasting Smart Meter Energy Usage using Distributed Systems and Machine Learning
Contains analysis of a large number of sub-hourly sampled meter data analysis
A Predictive Analytics Problem Statement to forecast future Electricity Consumption using Household Power Consumption Dataset
Three type models of thermostat. The normalized cost of traditional, rigid and optimized models are 1, 0.692 and 0.703 respectively. The total normalized reduced utility (cost + uncomfortableness) of the three models are 1, 0.593 and 0.546.
Dynamic Decision Making for Demand Response through Adaptive Event Stream Monitoring
This project aims to study a key feature of the Smart Grid as power systems of tomorrow. This feature is the transversal study between the Transmission system simulation and those of the Distribution System. Some prefer to call it as T&D co-simulation. More specifically, this project is about T&D Optimal Power Flow optimization with a consideration of the battery storage technology in the distribution level. The problem is modeled as a Mixed Integer Non Linear program that is resolved in a distributed fashion each minute to insure a safe and optimal operation of lare and dense power systems.
Smart Meter Data Analysis System
Projet ENSAE - Modèles à chaîne de Markov cachée et méthodes de Monte Carlo séquentielles - Antoine Grelety, Samir Tanfous, Zakarya Ali
An open source, Python-based software application suite for energy storage simulation and analysis developed by Sandia National Laboratories.
Residential Solar Photovoltaic Panel Adoption
Framework of Using Machine Learning Approaches for Short-Term Solar Power Forecasting
Solar Optimizer is a highly efficient DC/DC converter that produces high voltage DC from low voltage battery input. Conversion loss is so low that it is now possible to use it in the low power off-grid SOLAR applications such as Solar Home System (SHS), a program promoted by IDCOL in Rural areas in Bangladesh.
Code for Economic Analysis of Different Dispatch Scenarios of Solar and Storage Resources
open testbench for control and optimization methods for the energy management of a simple solar home
Source code for 'SQL Server 2012 Data Integration Recipes' by Adam Aspin
Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison