General Remarks

The following sections provide a detailed account of the validation procedures. Two types of tests are carried out, the first one being fully scoped model tests, while the second tests specific functionalities.

The test cases contain 28 data sets with explanations regarding the desired solution. Every test has specific testing criteria that ensure the model works as desired with respect to specific functionalities. With some abuse of economic syntax, the calculations underlying each case use the notion of marginalized costs. Here, marginalized costs refer to the inclusion of investment costs into marginal costs. While this step is rarely ever plausible and hence likely counterintuitive to many economists, the specific design of test cases allows for this measure and makes for an easier illustration.

Every test case can be run for both, the optimization model formulation and as a complementarity problem. However, tests for the complementarity formulation are only run for variable values (such as quantities or prices). Tests for e.g. the objective value are not run due to a lack of the underlying function. The latter category of functional tests asserts other specific functionalities such as plotting or reporting of results works as desired.

Please see below for a short overview.

Test Case Overview

Functionality Tests Overview