Energy System Modeling with R — useR! Training

Preface

This training introduces energy system modeling in R with the energyRt package — energy system modeling with a familiar R workflow: you describe the system as R objects, energyRt compiles and solves the optimization model on one of several mathematical-programming backends (GLPK, Julia/JuMP, Python/Pyomo, or GAMS), and results come back as tidy tables.

The first chapter, Installation, walks through installing R, the energyRt package, and at least one solver backend so your machine is ready for the hands-on sessions.

Tip

The installation chapter shows every command but does not run any of them at render time — copy each command into your own R session to execute it.