Tatiana Gonzaléz Grandón
About
I am a mathematician and economist specializing in participatory climate and energy modeling to support economic decision-making under uncertainty and risk. My work prioritizes pluralist approaches that challenge dominant economic paradigms by integrating complexity, power asymmetries, and epistemic justice into decision-support frameworks.
With six years of experience in rural electrification planning, financing, and water-energy-food nexus projects across Togo, Nigeria, Tanzania, Sierra Leone, and Niger, I have worked with development agencies such as the United Nations and GIZ. My academic interests span political ecology, critical development studies, and feminist theory, with a strong focus on interdisciplinary methodologies that bridge social and natural sciences. I am particularly passionate about rethinking the climate-development-infrastructure nexus, bringing attention to how power and politics shape transitions in contexts of uncertainty and change.
Research
Principal Investigator of OPEN4CEC- NTNU
Principal Investigator of SPECTRUM: South’s Pluriverse Electrification for ClimaTe-Resilient rUral CoMmunities
Research Lead: PGMO- Sizing and Dispatch of Decentralized Energy Systems with Chance Constraints
Research Lead of Stochastic Quantum Optimization Group-NTNU
Researcher at ENERGICA-Climate and Energy Modelling
Publications
2024
-
Ouanes, Nesrine;
González Grandón, Tatiana Carolina;
Heitsch, Holger;
Henrion, René.
(2024)
Optimizing the economic dispatch of weakly-connected mini-grids under uncertainty using joint chance constraints.
Annals of Operations Research
Academic article
-
González Grandón, Tatiana Carolina;
Schwenzer, J.;
Steens, T.;
Breuing, J..
(2024)
Electricity demand forecasting with hybrid classical statistical and machine learning algorithms: Case study of Ukraine.
Applied Energy
Academic article
Journal publications
-
Ouanes, Nesrine;
González Grandón, Tatiana Carolina;
Heitsch, Holger;
Henrion, René.
(2024)
Optimizing the economic dispatch of weakly-connected mini-grids under uncertainty using joint chance constraints.
Annals of Operations Research
Academic article
-
González Grandón, Tatiana Carolina;
Schwenzer, J.;
Steens, T.;
Breuing, J..
(2024)
Electricity demand forecasting with hybrid classical statistical and machine learning algorithms: Case study of Ukraine.
Applied Energy
Academic article
Teaching
PhD course: Planning Under Uncertainty in energy Markets (IØ8811)