Photo of Timo Lohmann

Timo Lohmann

  • Division of Economy and Business
  • Colorado School of Mines
    Golden, CO 80401


  • Ph.D. Interdisciplinary: Operations Research with Engineering, Colorado School of Mines, May 2015.
  • Diplom (equivalent to US M.S.) Technische Universitaet Braunschweig, Germany, 2011


  • Energy Market Modeling
  • Electricity Sector Models
  • Renewable Electricity Policies
  • Hydro-Thermal Scheduling Modeling
  • Hydro Inflow Forecasting
  • Tailored Decomposition Algorithms


  • Fall 2014: Instructor for EBGN325 Operations Research
  • Fall 2013: Instructor for EBGN325 Operations Research
  • Spring 2013: TA for EBGN552 Nonlinear Programming
  • Fall 2012: TA for EBGN525 Operations Research Methods
  • Spring 2012: RA for Newmont Project
  • Fall 2011: TA for EBGN525 Operations Research Methods


  • M.R. Bussieck, M.C. Ferris, T. Lohmann. GUSS Solving Collections of Data Related Models within GAMS. In J. Kallrath, editor, Algebraic Modeling Systems Modeling and Solving Real World Optimization Problems. Springer, 2012.
  • Submitted: Spatio-Temporal Hydro Inflow Forecasting for Hydro-Thermal Scheduling (with A. Hering and S. Rebennack)
  • Submitted: Strategic Bidding for a Single Price-Maker Hydro-Electric Producer: Stochastic Dual Dynamic Programming paired with Lagrangian Relaxation (with G. Steeger and S. Rebennack)
  • Submitted: High Performance Prototyping of Decomposition Methods for Domain Specific Applications (with M. Bussieck, L. Westermann and S. Rebennack)
  • Talks:
  • INFORMS 2012, Phoenix AZ, USA: Inflow Forecasting Models for Hydrothermal Scheduling
  • Session Chair in Cluster "Energy, Natural Res & the Environment/Energy", Sessions: Stochastic Hydro-Thermal Scheduling I & Stochastic Hydro-Thermal Scheduling II
  • ISMP 2012, Berlin, Germany (invited): Stochastic hydro-thermal scheduling with CVaR risk constraints in deregulated markets
  • 4th IEEE and Cigr International Workshop "Hydro Scheduling in Competitive Markets" 2012, Bergen, Norway: Risk Constrained Stochastic Hydro-thermal Scheduling
  • INFORMS 2011, Charlotte NC, USA: Practical Stochastic Programming using Algebraic Modeling Systems