Fahad Abul's Projects
A easy HMM program written with Python, including the full codes of training, prediction and decoding.
📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
Tools for building power systems optimization problems
This project aims to predict the hourly electricity load in Toronto based on the loads of previous 23 hours using LSTM recurrent neural network.
Smart meter load disaggregation with Hidden Markov Models
UCIのElectricityLoadDiagrams20112014 Data Set ( https://archive.ics.uci.edu/ml/datasets/ElectricityLoadDiagrams20112014 ) を使った教師なし学習
Contains Day-ahead hourly load forecasting and data processing scripts
Electric Water Heater using PIC16F877A
Rapid On-line Temporal Sequence Prediction by an Adaptive Agent
Smart charging algorithms with REST API for electric vehicle fleets
analyze text with empath
Code and data fo "Deep Learning for Energy Markets" paper (https://arxiv.org/abs/1808.05527)
API Wrappers for Energy Markets Data
Energy Hub scripts for various projects
An open-access benchmark and toolbox for electricity price forecasting
Optimal Scheduling of Electric Vehicle Charging in Distribution Networks
Simulation for a network of connected electric water heaters (ECSE456/457)
12-752 - Data-Driven Building Energy Management (Fall 2017)
Config files for my GitHub profile.
Feature Store for Machine Learning
different ways of forecasting time series
Exercises for Analysis of Financial Time Series, 3rd
Contains codes (MATLAB and Python) for detecting data falsification in AMI / Smartgrid.
GEFCom2017-D modelling and forecasts. D stands for defined-data track.
A GHSOM algorithm for electricity users classification