Distributed Stochastic AC Optimal Power Flow based on Polynomial Chaos Expansion. - Alexander Engelmann; Tillmann Muhlpfordt; Yuning Jiang 002; Boris Houska; Timm Faulwasser (ACC, 2018)

Optimal power flow: an introduction to predictive, distributed and stochastic control challenges. - Timm Faulwasser; Alexander Engelmann; Tillmann Mühlpfordt; Veit Hagenmeyer (Autom., 2018)

Distributed Optimal Power Flow using ALADIN. - Alexander Engelmann; Yuning Jiang 002; Tillmann Mühlpfordt; Boris Houska; Timm Faulwasser (CoRR, 2018)

Towards economic NMPC for multi-stage AC optimal power flow. - Timm Faulwasser; Alexander Engelmann (CoRR, 2018)

Distributed State Estimation for AC Power Systems using Gauss-Newton ALADIN. - Xu Du; Alexander Engelmann; Yuning Jiang 002; Timm Faulwasser; Boris Houska (CDC, 2019)

A Comparison of Economic MPC Formulations for Thermal Building Control. - Philipp Zwickel; Alexander Engelmann; Lutz Gröll; Veit Hagenmeyer; Dominique Sauer; Timm Faulwasser (ISGT Europe, 2019)

Decomposition of non-convex optimization via bi-level distributed ALADIN. - Alexander Engelmann; Yuning Jiang 002; Boris Houska; Timm Faulwasser (CoRR, 2019)

Feasibility vs. Optimality in Distributed AC OPF - A Case Study Considering ADMM and ALADIN. - Alexander Engelmann; Timm Faulwasser (CoRR, 2019)

Optimal Experiment Design for AC Power Systems Admittance Estimation. - Xu Du; Alexander Engelmann; Yuning Jiang 002; Timm Faulwasser; Boris Houska (CoRR, 2019)

ALADIN-α - An open-source MATLAB toolbox for distributed non-convex optimization. - Alexander Engelmann; Yuning Jiang 002; Henrieke Benner; Ruchuan Ou; Boris Houska; Timm Faulwasser (CoRR, 2020)

Distributed Power Flow and Distributed Optimization - Formulation, Solution, and Open Source Implementation. - Tillmann Mühlpfordt; Xinliang Dai; Alexander Engelmann; Veit Hagenmeyer (CoRR, 2020)

Decomposition of Nonconvex Optimization via Bi-Level Distributed ALADIN. - Alexander Engelmann; Yuning Jiang 002; Boris Houska; Timm Faulwasser (IEEE Trans. Control. Netw. Syst., 2020)

Distributed Optimization with Application to Power Systems and Control - Alexander Engelmann (2020)

Online power system parameter estimation and optimal operation. - Xu Du; Alexander Engelmann; Timm Faulwasser; Boris Houska (ACC, 2021)

An essentially decentralized interior point method for control. - Alexander Engelmann; Gösta Stomberg; Timm Faulwasser (CDC, 2021)

Decentralized conjugate gradients with finite-step convergence. - Alexander Engelmann; Timm Faulwasser (CoRR, 2021)

A Distributed Active Set Method for Model Predictive Control. - Gösta Stomberg; Alexander Engelmann; Timm Faulwasser (CoRR, 2021)

Toward Decentralized Interior Point Methods for Control. - Alexander Engelmann; Gösta Stomberg; Timm Faulwasser (CoRR, 2021)

Approximations for Optimal Experimental Design in Power System Parameter Estimation. - Xu Du; Alexander Engelmann; Timm Faulwasser; Boris Houska (CDC, 2022)

Decentralized non-convex optimization via bi-level SQP and ADMM. - Gösta Stomberg; Alexander Engelmann; Timm Faulwasser (CDC, 2022)

A compendium of optimization algorithms for distributed linear-quadratic MPC. - Gösta Stomberg; Alexander Engelmann; Timm Faulwasser (Autom., 2022)

Data-driven MPC of descriptor systems: A case study for power networks. - Philipp Schmitz; Alexander Engelmann; Timm Faulwasser; Karl Worthmann (CoRR, 2022)

Distributed Control of Charging for Electric Vehicle Fleets Under Dynamic Transformer Ratings. - Micah Botkin-Levy; Alexander Engelmann; Tillmann Mühlpfordt; Timm Faulwasser; Mads R. Almassalkhi (IEEE Trans. Control. Syst. Technol., 2022)

Distributed Interior Point Methods for Optimization in Energy Networks. - Alexander Engelmann; Michael Kaupmann; Timm Faulwasser (CoRR, 2023)

Decentralized real-time iterations for distributed nonlinear model predictive control. - Gösta Stomberg; Alexander Engelmann; Moritz Diehl; Timm Faulwasser (CoRR, 2024)

Large problems are not necessarily hard: A case study on distributed NMPC paying off. - Gösta Stomberg; Maurice Raetsch; Alexander Engelmann; Timm Faulwasser (CoRR, 2024)

Towards Data-Driven Multi-Stage OPF. - Oleksii Molodchyk; Philipp Schmitz; Alexander Engelmann; Karl Worthmann; Timm Faulwasser (CoRR, 2025)

Approximate Dynamic Programming With Feasibility Guarantees. - Alexander Engelmann; Maísa Beraldo Bandeira; Timm Faulwasser (IEEE Trans. Control. Netw. Syst., 2025)

Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks. - Alexander Engelmann; Sungho Shin; François Pacaud; Victor M. Zavala (IEEE Trans. Control. Netw. Syst., 2025)