Erik Alvarez is a researcher and PhD candidate in Electrical Engineering with eight years' experience modeling, planning and operating power systems across academia and industry. He has led R&D projects and built open-source Python tools (openTEPES, oHySEM) for transmission expansion planning and hybrid renewable optimization, bridging high-granularity spatio-temporal modeling with market participation strategies. His background spans stochastic and convex optimization, market clearing, and regulatory assessment, with hands-on implementation in GAMS, Pyomo, JuMP and Python. At RISE and previous research institutes he combined project management, technical reporting and team leadership to deliver deployable energy models and commercial insights for utilities and industrial clients. Based in Gothenburg, he focuses on corporate-impact projects that translate advanced optimization into actionable energy transition solutions. An underappreciated strength is his ability to navigate both detailed mathematical model development and the practicalities of market rules and procurement processes.
8 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Mechanical and Electrical Engineering, Bachelor's degree, Mechanical and Electrical Engineering at National University of Engineering
Doctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Universidad Pontificia Comillas
Master's degree, Electrical Engineering, Master's degree, Electrical Engineering at Universidade Estadual de Campinas
Definitions of common terms (variables, regions, etc.) for the openENTRANCE project
Contributions:237 pushes, 32 branches in 2 years 9 months
regionsdefinitionsvariables
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