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a-polynomial-regression-machine-learning-approach-for-reliability-based-optimization

This is a compact code for reliability analysis under uncertainty using a Polynomial Regression Machine Learning approach. The code implements a stochastic response surface method (SRSM) which quantifies the uncertainty in a performance function for the purpose of reliability-based design optimization (RBDO).

aerodynamic-performance-cnn

This work aims to predict airfoil's performance characteristics from a binary image of an airfoil at a specific AoA. This implementation uses a rudimentary CNN that has about 700000 parameters.

airfoil-self-noise-prediction

Machine learning course SCS 3253

airfoil_db_prediction_project

Solving Airfoil Self-Noise and Prediction problem with Machine Learning

airfoil_lift-drag_prediction_dl_cnn

CNN model to predict the lift-drag ratio of airfoil

airfoil_optimization_ga_sa

This project is implementing genetic algorithm (GA) and simulated annealing (SA) to optimize airfoil's lift-to-drag ratio based on the pre-trained CNN (as the evaluation function)

bsplinelab

Implementation of B-Splines in Python for various geometries

building-energy-model-matlab

It is a small software which is developed by MATLAB for modeling the energy system of a building or HVAC system.

buildingenergygeeks

Bringing building energy simulation and statistical learning together

buildingspy

Python modules for automating Modelica simulations and for running unit test for the Buildings library

cnn-for-airfoil

CNN for airfoil lift-to-drag-ratio prediction

ddpg

Implementation of Deep Deterministic Policy Gradients using TensorFlow and OpenAI Gym

deep-learning-for-aerodynamic-prediction

This repository contains code used to create and train a deep neural network that replicates a RANS solver for aerodynamic prediction over airfoils.

design-and-analysis-of-experiments

Lecture Notes on Design & Analysis of Experiments

design-of-experiment-python

Design-of-experiment (DOE) generator for science, engineering, and statistics

dmd-and-pod-code

the proper orthogonal decomposition(POD) and dynamic mode decomposition(DMD) methods

drl_hvac

Optimising electricity expenditure in an HVAC system under dynamic electricity pricing scheme and weather conditions using a DDPG model.

ductcalc

A short program for HVAC duct sizing

energy_plus_wrapper

Python lib running energy plus across platform and version

energyplus-python

energyplushelper

energyplusplugininterface

A prototype of the EnergyPlus Python-EMS interface package

epfilecreator

Creates Energy Plus files for input into greenhouse energy simulator

eptoolz

ORM for energy plus modeling. Plus some useful uitilities

flowfusic_airfoil_cnn

The codebase for the article "A case for machine learning in CFD".

flowtorch

flowTorch - a Python library for analysis and reduced-order modeling of fluid flows

hvac-calc-with-nn

Deep Learning python code for HVAC cooling / Heating load calculation

iot-anomaly-detection-hvac

Learn how to build an anomaly detection model and deploy it for real-time monitoring of malfunctioning Air Handling Units (AHUs)

ithaca-fv

Reduced order modelling techniques for OpenFOAM

lstm-hvac

LSTM to predict daily HVAC consumption in buildings