Fahad Abul's repositories
ashrae-great-energy-predictor-3-solution-analysis
Analysis of top give winning solutions of the ASHRAE Great Energy Predictor III competition
Diebold-Mariano-Test
This Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1997).
ELectricty-Market-Load-Forecaster
Contains Day-ahead hourly load forecasting and data processing scripts
Fahad021
Config files for my GitHub profile.
fpp3-python-readalong
Python-centered read-along of Forecasting: Principles and Practice
LEM_simulation
Integrates Gridlabd with Python for local electricity market and transactive system development
load_forecast
building electricity load day-ahead forecast (15min interval)
Mastering-Linux-Shell-Scripting-Second-Edition
Mastering Linux Shell Scripting - Second Edition, published by Packt
Multiple-Criteria-Decision-Aid
Source code for Multiple Criteria Decision Aid by Jason Papathanasiou, Nikolaos Ploskas
OpenTUMFlex
An open-source flexibility quantification model using Python
practical-machine-learning-with-python
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.
Predictive-Analytics-with-TensorFlow
Predictive Analytics with TensorFlow, published by Packt
pvvm_pvtos
PV value mapping: temporal output shaping
Python-API-Development-Fundamentals
Develop a full-stack web application with Python and Flask
residential-load-forecast
day-ahead load forecast on residential customers
stochastic-optimization
Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.
StorageVET
StorageVET 2.0 is a valuation model for analysis of energy storage technologies and some other energy resources paired with storage. The tool can be used as a standalone model, or integrated with other power system models, thanks to its open-source Python framework. Download the executable environment and learn more at https://www.storagevet.com.
Test-stock-prediction-algorithms
Use deep learning, genetic programming and other methods to predict stock and market movements