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followers: 17.0 following: 323.0 repos: 248.0 gists: 3.0

Name: Fahad Abul

Type: User

Bio: Data Scientist | Data Engineer | Technical Writer

Location: Toronto

Blog: https://www.researchgate.net/profile/Abul_Fahad

👋 Hi, I’m Abul Hasan Fahad. Welcome to my page.

Explore my projects:

My Data Engnieering Repo
- https://github.com/datacode09?tab=repositories
Masters Course Projects
- https://github.com/Fahad021/Masters-Course-Projects
Deep Neural Net for large timeseries forecasting
- https://github.com/Fahad021/ANN-based-Multiple-Time-Series-Forecasting-
Forecasting software for hourly ISO Electricity Demand
- https://github.com/Fahad021/ELectricty-Market-Load-Forecaster
Forecasting for hourly Nodal Price in Electricity Market
- https://github.com/Fahad021/LMP_Forecasting
Clustering of Nodal Prices in a Electric Network (PJM)
- https://github.com/Fahad021/PJM-Clustering
Optimization: Optimal Charging Management for Electric Vehicle under Bi-directional Power Flow Scenario
- https://github.com/Fahad021/Optimal-Charging-under-Vehicle-to-Grid-
Exploratory and Statistical Significance Analysis of Electric Vehicle Ownership Survey Data
- https://github.com/Fahad021/Survey-Data-Analysis
Data analytics for Sustainable Development
- https://github.com/Fahad021/Country-Literacy-Rate-Prediction
Energy Consumption Analaytics Use cases
- https://github.com/Fahad021/Smart-Meter-Data-Analysis

Explore my data apps:

Air Travel Data Exploration, Forecast, and Custom Model Training
- https://bi-dashbaord-024e4cae0bac.herokuapp.com/
Covid Data Exploration and Forecasting:
- https://dashboard.heroku.com/apps/covid-forecast-001
ML-based Heart Failure Prediction:
- https://dashboard.heroku.com/apps/heartfailureprediction001
ML-based Salary Prediction:
- https://dashboard.heroku.com/apps/salary-predictor-001

Fahad Abul's Projects

real_estate_model_deployment

Deploying Heroku App for Predicting House Price

reliable-frequency-regulation-through-vehicle-to-grid

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.

reopt-api-analysis

reopt_lite_api

residential-load-forecast

day-ahead load forecast on residential customers

retail-machine-learning

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

saas-express-starter-kit

A boilerplate for any real world SaaS with features such as authentication, email service, etc.

scalable-data-architecture-with-java

Scalable Data Architecture with Java, published by Packt

sfa

Scalable Time Series Data Analytics

short-term-load-forecasting

code for the paper https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9467267

simple-pytest-tutorial

single-phase-shunt-active-power-filter-using-parabolic-pwm

Program/Code/Simulink Repo of one of my papers on power electronics and control

slides-scipyconf-2018

A repository for public storage of slides given at the 17th Python in Science Conferences (2018)

smart-grid-scheduling

Energy-consumption scheduling algorithms for the Smart Grid

smart-meter

Forecasting Smart Meter Energy Usage using Distributed Systems and Machine Learning

smart-meter-data-analysis

Contains analysis of a large number of sub-hourly sampled meter data analysis

smart-meter-data-analytics

A Predictive Analytics Problem Statement to forecast future Electricity Consumption using Household Power Consumption Dataset

smart-thermostat

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.

smartgrid

Dynamic Decision Making for Demand Response through Adaptive Event Stream Monitoring

smartgrid-1

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.

smas

Smart Meter Data Analysis System

smc_electricity_forecast

Projet ENSAE - Modèles à chaîne de Markov cachée et méthodes de Monte Carlo séquentielles - Antoine Grelety, Samir Tanfous, Zakarya Ali

snl-quest

An open source, Python-based software application suite for energy storage simulation and analysis developed by Sandia National Laboratories.

solar-697

Residential Solar Photovoltaic Panel Adoption

solar-forecasting

Framework of Using Machine Learning Approaches for Short-Term Solar Power Forecasting

solar-optimizer

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.

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