image thumbnail

updated 1 year ago

Making Data Analytics for the Mining Industry Simple with MATLAB by David Willingham

Highlights automatically importing assay text data, perform basic statistics & visualization (mining industry, assay, assay data)

Mine Assay Tool

alphavol(X,R,fig)

createFit(z1, c1)

image thumbnail

updated 1 year ago

Mining Economics with MATLAB by David Willingham

Simulates a distribution of Net Present Values of a mine via a forecasting model for Iron Ore Prices (commodities, mining, economics)

FitNPV(NPV)

cashflow(data,NTrials,SYear)

discounting(data,capex,NTrials,sales,discFactorY,salesb)

image thumbnail

updated 1 year ago

Parametric Value At Risk by David Willingham

Computes the Parametric Value at Risk for a given Portfolio (var, value at risk, parametric value at r...)

computeParametricVaR(returns,confidence_level,plot_flag)

exampleparvar.m

image thumbnail

updated 1 year ago

Historical Value At Risk by David Willingham

Calculates Historical Value at Risk for a given portfolio of returns (value at risk, portfolio, var)

computeHistoricalVaR(returns,confidence_level,plot_flag)

examplehistvar.m

image thumbnail

updated 2 years ago

READMAIL by David Willingham

Imports the text from emails into MATLAB & saves attachments from Microsoft Outlook. (sendmail, outlook, email)

readmail.m

image thumbnail

updated 3 years ago

Electricity Load Forecasting for the Australian Market Case Study by David Willingham

This is a case study of forecasting short-term electricity loads for the Australian market. (artificial intelligen...)

Electricity Load Forecasting

Electricity Load Forecasting - Australia

Electricity Price Forecasting

image thumbnail

updated 3 years ago

Electricity Load and Price Forecasting Webinar Case Study by Ameya Deoras

Slides and MATLABĀ® code for the day-ahead system load and price forecasting case study. (electricity, energy trading, model)

Electricity Load Forecasting using Neural Networks

Electricity Price Forecasting with Neural Networks

Load Forecasting using Bagged Regression Trees

Contact us