dal3006 Goto Github PK

grounding_website

A open-source software designed to design earthing grids on AC substations. Made by an engineer to engineers.

groundwater-level-forecasting-with-anns-a-comparison-of-lstm-cnn-and-narx

groupanomalydetection

Do group anomaly detection on Multivariate time series using unsupervised methods

gru_forecasting_time_series_data

gru_timeseries_forcasting

Multistep univariate time series forecasting using Gated Recurrent Unit.

gtm-generativetopographicmapping

GTM (Generative Topographic Mapping)

gufm1-webservice

Four centuries of geomagnetic secular variation from historical records

heatmaps

Better heatmaps in Python

hello-powershell-world-template

The template repository for the Hello PowerShell World course on Learning Lab.

hello-world

sun-powered-world

hiphotoncluster

Code for doing photon id and CEMC clustering in HI events. (Thesis Project)

hmm_geoelectric_eq

The python codes that we used to produce the results in the manuscript is stored here.

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

horai

Horai US Long-term Seasonal Weather Forecast

hourly-day-ahead-probabilistic-solar-irradiance-forecasting-based-on-lstm-and-residual-modeling

This project is mainly for others to reproduce the thesis work.

house-prices---advanced-regression-techniques

Competitions Datasets Code Discussions Courses More Recently Viewed Thumbnail for Linear Regression I

how-to-check-if-time-series-data-is-stationary-with-python

How to Check if Time Series Data is Stationary with Python

iboat-pmcts

A Parallel Monte-Carlo Tree Search using multiprocessing and real weather forecasts to address long-term optimal path planning under uncertainty for autonomous sailboat

ieee-30-bus-system

Designed an IEEE 30 Bus system using PowerWorld performing Power flow and fault analysis on the system. Calculated the total generation, active and reactive power and the power losses alongside performing fault analysis for different types of faults (Single phase to Ground, Line to Line, 3 Phase Balanced and Double Line to Ground faults).

ieee-39-bus-power-system

A full-replica MATLAB/Simulink dynamic model of the IEEE 39-bus power system, including dynamic models of conventional generation and dynamic load profiles.

imogen

Magnetohydrodynamics code for astrophysical simulations

improved-decision-tree-based-on-feature-ranking

An improved decision tree classifier, in which the feature ranking threshold is used to replace Gini coefficient or information gain rate, as a criterion for judging whether a feature can be used as a tree node.

induction-motor-fault-detection-using-knn-and-fft

electric motors are critical components of a modern system. Their failure causes sever impacts on op

induction-motor-faults-detection-with-stacking-ensemble-method-and-deep-learning

This is a induction motor faults detection project implemented with Tensorflow. We use Stacking Ensembles method (with Random Forest, Support Vector Machine, Deep Neural Network and Logistic Regression) and Machinery Fault Dataset dataset available on kaggle.

inductionmotor-faultclassifier

Deep learning classifier to detect faults in Induction Motors

influence-neutral-grounds

Replication of the paper "Assessing the influence of neutral grounds on match outcomes" and extension using genetic matching

information-fusion-and-machine-learning-for-sensitivity-analysis-using-physics-knowledge-and-experim

Highlights • Physics-informed machine learning is investigated for global sensitivity analysis. • Physics and test data are fused to maximize the accuracy of sensitivity estimates. • Uncertainties in Gaussian process and deep neural network models are included. • Accuracy, uncertainty and computational effort of proposed approaches are compared.

interpret

Fit interpretable models. Explain blackbox machine learning.

iot-time-series

Clustering, Anomaly detection, Forecasting with IOT Time Series data

ip-shocks

Case study of IP shocks