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Energy Market Analytics demos A collection of demonstraions on energy analytics problems, they use the mostbasic of approaches to illustrate the problem and the subsequent modelling shortcomings. It applies theoretical approaches found in available research literature to electricity and gas markets. In addition to single commodity problems, it also demonstrates some more advanced cross commodity problems.

Models used, among others, are: ARMA(X) Time Series Models Stochastic Factor Models

Those problems are based on mathematical techniques such as
Optimization - linear and quadratic w/out constraints. Least Squares - regression technique with indicator and proper predictor variables.

UI based on the ASP.NET, AngularJS, Bootstrap and other web utilities.

Mathematical modelling based on the following libraries MathNet Alglib

Literature, articles from sources such as Journal of Energy Journal of Economics etc...

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